Alternatives to Pictograph
Compare Pictograph alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Pictograph in 2026. Compare features, ratings, user reviews, pricing, and more from Pictograph competitors and alternatives in order to make an informed decision for your business.
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Google Cloud Vision AI
Google
Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more. Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy. Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Vision’s easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge. Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog. -
2
Ultralytics
Ultralytics
Ultralytics offers a full-stack vision-AI platform built around its flagship YOLO model suite that enables teams to train, validate, and deploy computer-vision models with minimal friction. The platform allows you to drag and drop datasets, select from pre-built templates or fine-tune custom models, then export to a wide variety of formats for cloud, edge or mobile deployment. With support for tasks including object detection, instance segmentation, image classification, pose estimation and oriented bounding-box detection, Ultralytics’ models deliver high accuracy and efficiency and are optimized for both embedded devices and large-scale inference. The product also includes Ultralytics HUB, a web-based tool where users can upload their images/videos, train models online, preview results (even on a phone), collaborate with team members, and deploy via an inference API. -
3
RectLabel
RectLabel
An offline image annotation tool for object detection and segmentation. Draw polygons, cubic bezier curves, line segments, and points. Draw oriented bounding boxes in aerial images. Draw key points with a skeleton. Draw pixels with brushes and superpixels. Read/write in PASCAL VOC xml and YOLO text formats. Export to CreateML object detection and image classification formats. Export to COCO, Labelme, YOLO, DOTA, and CSV formats. Export indexed color mask images and grayscale mask images. Settings for objects, attributes, hotkeys, and labeling fast. Customize the label dialog to combine with attributes. 1-click buttons speed up selecting the object name. Auto-suggest works for more than 5000 object names. Search object, attribute, and image names in a gallery view. Automatic labeling using Core ML models. Automatic text recognition using OCR. Video to image frames, augment images, etc. Supports English, Chinese, Korean, and 11 other languages.Starting Price: Free -
4
Eyewey
Eyewey
Train your own models, get access to pre-trained computer vision models and app templates, learn how to create AI apps or solve a business problem using computer vision in a couple of hours. Start creating your own dataset for detection by adding the images of the object you need to train. You can add up to 5000 images per dataset. After images are added to your dataset, they are pushed automatically into training. Once the model is finished training, you will be notified accordingly. You can simply download your model to be used for detection. You can also integrate your model to our pre-existing app templates for quick coding. Our mobile app which is available on both Android and IOS utilizes the power of computer vision to help people with complete blindness in their day-to-day lives. It is capable of alerting hazardous objects or signs, detecting common objects, recognizing text as well as currencies and understanding basic scenarios through deep learning.Starting Price: $6.67 per month -
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V7 Darwin
V7
V7 Darwin is a powerful AI-driven platform for labeling and training data that streamlines the process of annotating images, videos, and other data types. By using AI-assisted tools, V7 Darwin enables faster, more accurate labeling for a variety of use cases such as machine learning model training, object detection, and medical imaging. The platform supports multiple types of annotations, including keypoints, bounding boxes, and segmentation masks. It integrates with various workflows through APIs, SDKs, and custom integrations, making it an ideal solution for businesses seeking high-quality data for their AI projects.Starting Price: $150 -
6
Ximilar
Ximilar
Ximilar is the first MLaaS platform for training and fine-tuning vision-language models without coding, enabling multimodal AI without in-house research teams. Build and train custom models on your own image and text data, then deploy via a single API click. Chain multiple models into automated workflows using Flows. Key capabilities: — Vision-language model fine-tuning on custom datasets — Image classification, annotation, and object detection — Visual search handling thousands of queries per second — Text-to-image search using natural language queries — Automated tagging and product description generation — OCR and text extraction from images — Fashion AI for apparel tagging and visual search — Defect detection for manufacturing and quality control — Classification, grading, and pricing of collectible items Built on Intel Xeon® with TensorFlow and OpenVINO. Deploy via API or offline. GDPR-compliant, EU servers. 15B+ images processed. Clients in 40+ countries.Starting Price: $0 -
7
NVIDIA TensorRT
NVIDIA
NVIDIA TensorRT is an ecosystem of APIs for high-performance deep learning inference, encompassing an inference runtime and model optimizations that deliver low latency and high throughput for production applications. Built on the CUDA parallel programming model, TensorRT optimizes neural network models trained on all major frameworks, calibrating them for lower precision with high accuracy, and deploying them across hyperscale data centers, workstations, laptops, and edge devices. It employs techniques such as quantization, layer and tensor fusion, and kernel tuning on all types of NVIDIA GPUs, from edge devices to PCs to data centers. The ecosystem includes TensorRT-LLM, an open source library that accelerates and optimizes inference performance of recent large language models on the NVIDIA AI platform, enabling developers to experiment with new LLMs for high performance and quick customization through a simplified Python API.Starting Price: Free -
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ImgLab
ImgLab
ImgLab is an open-source tool designed to simplify the task of annotating images for machine learning and artificial intelligence applications. It provides an intuitive interface that enables users to mark up images with metadata, such as bounding boxes, points, lines, or polygons to identify specific features or objects within the image. ImgLab supports multiple annotation formats including COCO, Pascal VOC, and YOLO, facilitating compatibility with a variety of machine learning models and platforms. It's designed to work with large image sets, making it suitable for complex machine learning tasks.Starting Price: Free -
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Roboflow
Roboflow
Roboflow has everything you need to build and deploy computer vision models. Connect Roboflow at any step in your pipeline with APIs and SDKs, or use the end-to-end interface to automate the entire process from image to inference. Whether you’re in need of data labeling, model training, or model deployment, Roboflow gives you building blocks to bring custom computer vision solutions to your business.Starting Price: $250/month -
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Synetic
Synetic
Synetic AI is a platform that accelerates the creation and deployment of real-world computer vision models by automatically generating photorealistic synthetic training datasets with pixel-perfect annotations and no manual labeling required, using advanced physics-based rendering and simulation to eliminate the traditional gap between synthetic and real-world data and achieve superior model performance. Its synthetic data has been independently validated to outperform real-world datasets by an average of 34% in generalization and recall, covering unlimited variations like lighting, weather, camera angles, and edge cases with comprehensive metadata, annotations, and multi-modal sensor support, enabling teams to iterate instantly and train models faster and cheaper than traditional approaches; Synetic AI supports common architectures and export formats, handles edge deployment and monitoring, and can deliver full datasets in about a week and custom trained models in a few weeks. -
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Ailiverse NeuCore
Ailiverse
Build & scale with ease. With NeuCore you can develop, train and deploy your computer vision model in a few minutes and scale it to millions. A one-stop platform that manages the model lifecycle, including development, training, deployment, and maintenance. Advanced data encryption is applied to protect your information at all stages of the process, from training to inference. Fully integrable vision AI models fit into your existing workflows and systems, or even edge devices easily. Seamless scalability accommodates your growing business needs and evolving business requirements. Divides an image into segments of different objects within the image. Extracts text from images, making it machine-readable. This model also works on handwriting. With NeuCore, building computer vision models is as easy as drag-and-drop and one-click. For more customization, advanced users can access provided code scripts and follow tutorial videos. -
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Datature
Datature
Datature is a comprehensive, end-to-end, no-code computer vision and MLOps platform that simplifies the entire deep-learning lifecycle by letting users manage data, annotate images and videos, train models, evaluate performance, and deploy AI vision solutions, all within one unified environment without coding. Its intuitive visual interface and workflow tools guide you through dataset onboarding and annotation (including bounding boxes, segmentation, and advanced labeling), let you build automated training pipelines, monitor model training, and assess model accuracy with rich performance analytics, and then deploy models via API or for edge use so trained models can be used in real-world applications. Designed to democratize access to AI vision, Datature accelerates project timelines by reducing manual coding and debugging, supports collaboration across teams, and accommodates tasks like object detection, classification, semantic segmentation, and video analysis. -
13
Apra VMS
Apra Labs
Apra VMS is a software-only video management system with a full ONVIF Client built-in - talking directly to cameras with no middleware required. Runs on standard customer hardware. Features: • Full ONVIF Client: Talks directly to cameras - Device Discovery, PTZ Control, Imaging & Video Adjustments, Focus Control, Event Subscription & Push Notifications, Motion & Analytics Events. • Event-Based Recording: Records triggered by motion events, ONVIF analytics events, and camera push notifications. • Any ONVIF Camera: Compatible with all IP cameras from any manufacturer. • BYOM AI: Deploy custom-trained AI models natively - no plugin needed. • NVIDIA GPU Acceleration: Native TensorRT inference on Jetson and x86 GPU. • Multi-Platform: Only VMS on Windows, Linux, macOS, ARM, and Jetson. • WebRTC Streaming: Sub-1-second live view in any browser, no plugin required. • No Base Fee: No server licence. Pay per camera only. • 30-Day Free Trial: Full-feature trial, no credit card -
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AI Verse
AI Verse
When real-life data capture is challenging, we generate diverse, fully labeled image datasets. Our procedural technology ensures the highest quality, unbiased, labeled synthetic datasets that will improve your computer vision model’s accuracy. AI Verse empowers users with full control over scene parameters, ensuring you can fine-tune the environments for unlimited image generation, giving you an edge in the competitive landscape of computer vision development. -
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NVIDIA Triton™ inference server delivers fast and scalable AI in production. Open-source inference serving software, Triton inference server streamlines AI inference by enabling teams deploy trained AI models from any framework (TensorFlow, NVIDIA TensorRT®, PyTorch, ONNX, XGBoost, Python, custom and more on any GPU- or CPU-based infrastructure (cloud, data center, or edge). Triton runs models concurrently on GPUs to maximize throughput and utilization, supports x86 and ARM CPU-based inferencing, and offers features like dynamic batching, model analyzer, model ensemble, and audio streaming. Triton helps developers deliver high-performance inference aTriton integrates with Kubernetes for orchestration and scaling, exports Prometheus metrics for monitoring, supports live model updates, and can be used in all major public cloud machine learning (ML) and managed Kubernetes platforms. Triton helps standardize model deployment in production.Starting Price: Free
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Hive Data
Hive
Create training datasets for computer vision models with our fully managed solution. We believe that data labeling is the most important factor in building effective deep learning models. We are committed to being the field's leading data labeling platform and helping companies take full advantage of AI's capabilities. Organize your media with discrete categories. Identify items of interest with one or many bounding boxes. Like bounding boxes, but with additional precision. Annotate objects with accurate width, depth, and height. Classify each pixel of an image. Mark individual points in an image. Annotate straight lines in an image. Measure, yaw, pitch, and roll of an item of interest. Annotate timestamps in video and audio content. Annotate freeform lines in an image.Starting Price: $25 per 1,000 annotations -
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Alegion
Alegion
Alegion is the data labeling solution for enterprise-grade Machine Learning. We lead the industry in streaming, high-resolution, high-density video annotation, delivering accurately-annotated, model-ready data to train and validate ML models. Alegion provides both the platform and workforce to operate with quality at scale, processing structured and unstructured data including video, image, audio, and text. Our ML powered platform speeds up task completion by as much as 70%, including classless object tracking and single click smart polygon generation. Segmentation options include Keypoint, Bounding Box, Polyline, & Polygon segmentation, for image and video. Semantic Segmentation tools deliver seamless entity boundaries with pixel perfect accuracy. NLP and NER capabilities support text and audio classification and sentiment analysis. The platform is highly configurable to support hybrid use cases. Available via SaaS (Alegion Control), Managed Platform, and Managed Labeling Services.Starting Price: $5000 -
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alwaysAI
alwaysAI
alwaysAI provides developers with a simple and flexible way to build, train, and deploy computer vision applications to a wide variety of IoT devices. Select from a catalog of deep learning models or upload your own. Use our flexible and customizable APIs to quickly enable core computer vision services. Quickly prototype, test and iterate with a variety of camera-enabled ARM-32, ARM-64 and x86 devices. Identify objects in an image by name or classification. Identify and count objects appearing in a real-time video feed. Follow the same object across a series of frames. Find faces or full bodies in a scene to count or track. Locate and define borders around separate objects. Separate key objects in an image from background visuals. Determine human body poses, fall detection, emotions. Use our model training toolkit to train an object detection model to identify virtually any object. Create a model tailored to your specific use-case. -
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Viso Now
viso.ai
Viso Now is a browser-based computer vision platform for building and running vision applications from prompts or video clips. Users describe a scene, event, or condition to monitor, and the platform helps create vision agents that analyze footage, identify relevant activity, and send results to connected tools. Templates support use cases such as workplace safety checks, quality inspections, queue monitoring, equipment observation, and operational audits. Users can refine agent rules and outputs, review results in dashboards, and connect cameras, video files, cloud storage, and notification destinations. Viso Now is intended for operations, safety, quality, engineering, AI, and systems-integration teams that need to prototype or deploy visual monitoring workflows without preparing labeled datasets or training custom models. The free plan includes daily credits; paid plans add usage capacity and team features.Starting Price: $25/month -
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Visual Layer
Visual Layer
Visual Layer is a platform for working with large volumes of image and video data. It supports visual search, filtering, tagging, and dataset structuring across raw files, metadata, and labels. No code is required, and both technical and non-technical teams use it in production. Common applications include curating datasets for machine learning, auditing visual content for compliance, reviewing surveillance material, and preparing media for downstream platforms. The platform detects duplicates, mislabeled items, outliers, and low-quality files to improve data quality before model training or operational decision-making. It is model-agnostic, supports both cloud and on-premise deployment, and is built by the creators of Fastdup, the widely used open-source tool for visual deduplication.Starting Price: $200/month -
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Keymakr
Keymakr
Keymakr provides image and video data annotation, along with data creation, collection, and validation services for AI and machine learning computer vision projects of any scale. The company’s core expertise lies in delivering high-quality training data for multimodal and embodied AI systems, and supporting human-verified annotation and LLM ground-truth validation of model outputs. Keymakr's motto, "Human teaching for machine learning," reflects its commitment to the human-in-the-loop approach. This is why the company maintains an in-house team of over 600 highly skilled annotators. Keymakr's goal is to deliver custom datasets that enhance the accuracy and efficiency of ML systems. To create precise datasets, Keymakr developed Keylabs.ai, a powerful enterprise-grade annotation platform that supports all annotation types. Keymakr also follows strict data security and compliance standards, holds ISO 9001 and ISO 27001 certifications, and maintains GDPR and HIPAA compliance.Starting Price: $7/hour -
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Azure AI Custom Vision
Microsoft
Create a custom computer vision model in minutes. Customize and embed state-of-the-art computer vision image analysis for specific domains with AI Custom Vision, part of Azure AI Services. Build frictionless customer experiences, optimize manufacturing processes, accelerate digital marketing campaigns, and more. No machine learning expertise is required. Set your model to perceive a particular object for your use case. Easily build your image identifier model using the simple interface. Start training your computer vision model by simply uploading and labeling a few images. The model tests itself on these and continually improves precision through a feedback loop as you add images. To speed development, use customizable, built-in models for retail, manufacturing, and food. See how Minsur, one of the world's largest tin mines, uses AI Custom Vision for sustainable mining. Rely on enterprise-grade security and privacy for your data and any trained models.Starting Price: $2 per 1,000 transactions -
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Plainsight
Plainsight
Remove the complexity from your machine learning projects with our vision AI platform built from the ground up for fast, effective video analytics application development. With easy, no-code point-and-click features all in one platform, Plainsight slashes your time-to-production and accelerates the success of vision AI-powered solutions across industries. Connect, administer, & control cameras, sensors & edge devices in one interface. Collect accurate training datasets to provide a high-quality training foundation for models. Accelerate labeling with smart polygon selection, predictive labeling, & automated object recognition. Easily train models with a breakthrough process designed to reduce time to vision AI solutions. Quickly deploy & scale applications at the edge, in the cloud, or on-premises to meet business needs. -
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Deep Block
Omnis Labs
Deep Block is the world's fastest AI-powered remote sensing imagery analysis solution. Train your own AI models to detect instantly any objects in large satellite, aerial, and drone images. Deep Block's no-code data labeling interface lets you achieve your MLOps projects in days, with no prior expertise. Instead of hiring your own in-house AI engineering team, anybody can start training their own AI. If you have a mouse and a keyboard, you can use our web-based platform, check our project library for inspiration, and choose between 9 out-of-the-box AI training modules (image segmentation, object detection, facial detection, facial comparison…) to get you started. The power of Deep Block is not limited to training your own AI. Once, your AI model is ready, Deep Block's high-performance AI models can deliver very accurate results when detecting objects (0.9 mAP) and with minimum false positives (0.9 recall).Starting Price: $10 per month -
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Supervisely
Supervisely
The leading platform for entire computer vision lifecycle. Iterate from image annotation to accurate neural networks 10x faster. With our best-in-class data labeling tools transform your images / videos / 3d point cloud into high-quality training data. Train your models, track experiments, visualize and continuously improve model predictions, build custom solution within the single environment. Our self-hosted solution guaranties data privacy, powerful customization capabilities, and easy integration into your technology stack. A turnkey solution for Computer Vision: multi-format data annotation & management, quality control at scale and neural networks training in end-to-end platform. Inspired by professional video editing software, created by data scientists for data scientists — the most powerful video labeling tool for machine learning and more. -
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inferdo
inferdo
Easily integrate our Computer Vision API to add some Machine Learning magic to your app. At inferdo, we pride ourselves in our ability to offer state-of-the-art, pre-trained deep learning models, but also our ability to efficiently serve them at scale. That means we can pass the savings on to you! Simply provide an image URL to our API and we'll handle the rest. Use our Content Moderation API to flag possible inappropriate content in your images. This model is trained to detect nudity and NSFW content in images, both real and drawn. Check out our API cost comparisons here vs our competitors. Use our Image Labeling API to add semantic labels to your images. This model is trained to classify thousands of unique labels across a wide verity of categories. Use our Face Detection API to detect the location of human faces in your images. Need more information? Then use our Face Details API to detect faces, gender, age, and other facial features.Starting Price: $0.0005 per month -
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Voxel51
Voxel51
FiftyOne by Voxel51 - the most powerful visual AI and computer vision data platform. Without the right data, even the smartest AI models fail. FiftyOne gives machine learning engineers the power to deeply understand and evaluate their visual datasets—across images, videos, 3D point clouds, geospatial, and medical data. With over 2.8 million open source installs and customers like Walmart, GM, Bosch, Medtronic, and the University of Michigan Health, FiftyOne is an indispensable tool for building computer vision systems that work in the real world, not just in the lab. FiftyOne streamlines visual data curation and model analysis with workflows to simplify the labor-intensive processes of visualizing and analyzing insights during data curation and model refinement—addressing a major challenge in large-scale data pipelines with billions of samples. Proven impact with FiftyOne: ⬆️30% increase in model accuracy ⏱️5+ months of development time saved 📈30% boost in productivityStarting Price: $0 -
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Hasty
Hasty
The Hasty platform provides everything needed to go from raw images and videos to production-ready models. The Hasty platform is helping world-class organizations deliver AI to production. The idea behind Hasty's annotation solution is simple. You annotate images, and we use the annotations to train AI models making it faster to create more annotations. This continuously improving approach ensures that you build your data asset faster than ever before. With AI consensus scoring, no complex review workflows or expensive redundancies are needed. We use AI to find potential errors, which can then be fixed at the click of a button. With the model playground, the platform enables the quick creation of models, tuning them to the smallest parameter and deploying them in our data annotation environment to enable unparalleled annotation speed. The models can also be exported and deployed in your own environment. -
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Evoke
Evoke
Focus on building, we’ll take care of hosting. Just plug and play with our rest API. No limits, no headaches. We have all the inferencing capacity you need. Stop paying for nothing. We’ll only charge based on use. Our support team is our tech team too. So you’ll be getting support directly rather than jumping through hoops. The flexible infrastructure allows us to scale with you as you grow and handle any spikes in activity. Image and art generation from text to image or image to image with clear documentation with our stable diffusion API. Change the output's art style with additional models. MJ v4, Anything v3, Analog, Redshift, and more. Other stable diffusion versions like 2.0+ will also be included. Train your own stable diffusion model (fine-tuning) and deploy on Evoke as an API. We plan to have other models like Whisper, Yolo, GPT-J, GPT-NEOX, and many more in the future for not only inference but also training and deployment.Starting Price: $0.0017 per compute second -
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EyeFlow
SiliconLIFE
An easy to use, cloud platform, with high speed performance for Computer Vision + AI models development. Build data sets, upload videos and images, customize flows and use your datasets to train the model for performing various actions. Save time and improve business performance by optimizing results. EyeFlow is a video analytic and artificial intelligence platform that boost business solutions to optimize performance, cost and efficiency of companies. Upload your videos or images, identify and fill in what you want to detect, train the neural network and start using. EyeFlow platform for executing models in edge computing, through an end-point or on a local device. -
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SuperAnnotate
SuperAnnotate
SuperAnnotate is the world's leading platform for building the highest quality training datasets for computer vision and NLP. With advanced tooling and QA, ML and automation features, data curation, robust SDK, offline access, and integrated annotation services, we enable machine learning teams to build incredibly accurate datasets and successful ML pipelines 3-5x faster. By bringing our annotation tool and professional annotators together we've built a unified annotation environment, optimized to provide integrated software and services experience that leads to higher quality data and more efficient data pipelines. -
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Viso Suite
Viso Suite
Viso Suite is the world’s only end-to-end platform for computer vision. It enables teams to rapidly train, create, deploy and manage computer vision applications – without writing code from scratch. Use Viso Suite to deliver industry-leading computer vision and real-time deep learning systems with low-code and automated software infrastructure. The use of traditional development methods, fragmented software tools, and the lack of experienced engineers are costing organizations lots of time and leading to inefficient, low-performing, and expensive computer vision systems. Build and deploy better computer vision applications faster by abstracting and automating the entire lifecycle with Viso Suite, the all-in-one enterprise vision platform. Collect data for computer vision annotation with Viso Suite. Use automated collection capabilities to gather high-quality training data. Control and secure all data collection. Enable continuous data collection to further improve your AI models. -
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Clarifai
Clarifai
Clarifai is a leading AI platform for modeling image, video, text and audio data at scale. Our platform combines computer vision, natural language processing and audio recognition as building blocks for developing better, faster and stronger AI. We help our customers create innovative solutions for visual search, content moderation, aerial surveillance, visual inspection, intelligent document analysis, and more. The platform comes with the broadest repository of pre-trained, out-of-the-box AI models built with millions of inputs and context. Our models give you a head start; extending your own custom AI models. Clarifai Community builds upon this and offers 1000s of pre-trained models and workflows from Clarifai and other leading AI builders. Users can build and share models with other community members. Founded in 2013 by Matt Zeiler, Ph.D., Clarifai has been recognized by leading analysts, IDC, Forrester and Gartner, as a leading computer vision AI platform. Visit clarifai.comStarting Price: $0 -
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NVIDIA DRIVE
NVIDIA
Software is what turns a vehicle into an intelligent machine. The NVIDIA DRIVE™ Software stack is open, empowering developers to efficiently build and deploy a variety of state-of-the-art AV applications, including perception, localization and mapping, planning and control, driver monitoring, and natural language processing. The foundation of the DRIVE Software stack, DRIVE OS is the first safe operating system for accelerated computing. It includes NvMedia for sensor input processing, NVIDIA CUDA® libraries for efficient parallel computing implementations, NVIDIA TensorRT™ for real-time AI inference, and other developer tools and modules to access hardware engines. The NVIDIA DriveWorks® SDK provides middleware functions on top of DRIVE OS that are fundamental to autonomous vehicle development. These consist of the sensor abstraction layer (SAL) and sensor plugins, data recorder, vehicle I/O support, and a deep neural network (DNN) framework. -
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Rosepetal AI
Rosepetal AI
Rosepetal AI is an innovative technology company specializing in advanced artificial vision and deep-learning solutions designed specifically for industrial quality control. Our platform integrates dataset handling, automated labelling and training of adaptive neural networks, enabling real-time defect detection without requiring advanced technical expertise. This intuitive, no-code SaaS solution democratizes access to sophisticated AI, significantly enhancing efficiency, reducing waste, and driving operational excellence across multiple industries such as automotive, food processing, pharmaceuticals, plastics, and electronics. The unique strength of Rosepetal AI lies in its dynamic adaptability and scalability. Our system allows industrial companies to quickly deploy robust AI models directly onto their production lines, continuously adjusting to new product variations and emerging defects. This capability ensures consistent quality, minimizes downtime.Starting Price: €250 -
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Simplismart
Simplismart
Fine-tune and deploy AI models with Simplismart's fastest inference engine. Integrate with AWS/Azure/GCP and many more cloud providers for simple, scalable, cost-effective deployment. Import open source models from popular online repositories or deploy your own custom model. Leverage your own cloud resources or let Simplismart host your model. With Simplismart, you can go far beyond AI model deployment. You can train, deploy, and observe any ML model and realize increased inference speeds at lower costs. Import any dataset and fine-tune open-source or custom models rapidly. Run multiple training experiments in parallel efficiently to speed up your workflow. Deploy any model on our endpoints or your own VPC/premise and see greater performance at lower costs. Streamlined and intuitive deployment is now a reality. Monitor GPU utilization and all your node clusters in one dashboard. Detect any resource constraints and model inefficiencies on the go. -
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Video Explorer Platform is a full functionality platform for video analytics (computer vision) application development and deployment. It provides an application framework that could be configured and customized to adapt to customers’ business requirements and further integrate with customers’ business systems. It could enable an enterprise to land a video analytics solution in a very short time. Co-worked with another asset the IBM Visual Builder (IVB), the customer could benefit from one-station video analytics application development and deployment, which include image labeling, image augmentation, training, validation, and publishing to Video Explorer Platform. Provides a full functionality platform of video analytics application development and deployment, including data source management (video devices, images, offline video materials), real-time video browsing, image / slip extraction, storage, model mapping, event processing rule configuration, etc.
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38
Neurolabs
Neurolabs
Industry-leading technology powered by synthetic data for flawless retail execution. The new wave of vision technology for consumer packaged goods. Select from an extensive catalog of over 100,000 SKUs in the Neurolabs platform including top brands such as P&G, Nestlé, Unilever, Coca-Cola, and much more. Your field agents can upload multiple shelf images from mobile devices to our API which will automatically stitch the images together to generate the scene. SKU-level detection provides you with detailed information to compute retail execution KPIs such as out-of-shelf rate, shelf share percentage, competitor price comparison, and so much more! Discover how our cutting-edge image recognition technology can help you maximize store operations, enhance customer experience, and boost profitability. Implement a real-world deployment in less than 1 week. Access image recognition datasets for over 100,000 SKUs. -
39
Cogito
Cogito Tech LLC
Cogito Tech is a leading AI data solutions provider specializing in data labeling and annotation services. We deliver high-quality data for applications across computer vision, natural language processing (NLP), and content services. Our expertise extends to fine-tuning large language models (LLMs) through techniques like Reinforcement Learning from Human Feedback (RLHF), enabling rapid deployment and customization to meet business objectives. The company is headquartered in the United States and was featured in The Financial Times’ FT ranking: The Americas’ Fastest-Growing Companies 2025 and Everest Group’s report Data Annotation and Labeling (DAL) Solutions for AI/ML PEAK Matrix® Assessment 2024 Services offered by Cogito: • Image Annotation Service • AI-assisted Data Labeling Service • Medical Image Annotation • NLP & Audio Annotation Service • ADAS Annotation Services • Healthcare Training Data for AI • Audio & Video Transcription ServicesStarting Price: $25/Hour -
40
Syntonym
Syntonym
Syntonym enables privacy-first AI and machine vision with lossless anonymization technology, protecting visual data while keeping every insight fully usable. Its real-time anonymization removes personal identifiers from faces and license plates while preserving the data utility, quality, and model performance needed for camera-based technologies. Instead of blurring or degrading footage, Syntonym irreversibly replaces sensitive identifiers with hyper-realistic synthetic alternatives that preserve key attributes such as expressions, gaze, head pose, demographics, eye movements, and blinks. It is built for visual AI systems that need to process real-world video and image data responsibly, including in-cabin monitoring, ADAS training, robotics, physical AI, smart devices, vision language models, AR glasses, wearables, and smart cameras. Syntonym Lossless can be deployed in the cloud, private cloud, on-premise, or through a real-time edge SDK. -
41
Quantarium
Quantarium
Built on the foundation of real AI, Quantarium’s innovative-yet-explainable solutions enable more accurate decision making, comprehensively spanning valuations, analytics, propensity models and portfolio optimization. The most accurate real estate insights into property values and trends instantly. Industry-leading highly scalable and resilient next-generation cloud Infrastructure. Quantarium’s adaptive AI computer vision technology is trained on millions of real estate images, and its knowledge is then incorporated into a range of QVM-based solutions. An asset within the Quantarium Data Lake, our managed data set is the most comprehensive and dynamic in the real estate industry. A machine-generated and AI-enhanced data set, curated by AI scientists, data scientists, software engineers, and industry experts, this is the new standard in real estate information. Quantarium combines deep domain expertise, self-learning technology, and innovative computer vision. -
42
ezML
ezML
On our platform, you can quickly configure a pipeline, made up of layers (models providing computer vision functionality) that pass the output of one to the next, to create your desired functionality by layering our prebuilt functionality to match your desired behavior. If you have a niche case that our versatile prebuilts don’t encompass, either reach out to us and we will add it for you, or use our custom model creation to create it and add it to the pipeline yourself. Then easily integrate into your app with the ezML libraries implemented in a variety of frameworks/languages that support the most basic cases as well as realtime streaming with TCP, WebRTC, and RTMP. Deployments auto-scale to meet your product's demand, ensuring uninterrupted functionality no matter how big your user base grows. -
43
GPUonCLOUD
GPUonCLOUD
Traditionally, deep learning, 3D modeling, simulations, distributed analytics, and molecular modeling take days or weeks time. However, with GPUonCLOUD’s dedicated GPU servers, it's a matter of hours. You may want to opt for pre-configured systems or pre-built instances with GPUs featuring deep learning frameworks like TensorFlow, PyTorch, MXNet, TensorRT, libraries e.g. real-time computer vision library OpenCV, thereby accelerating your AI/ML model-building experience. Among the wide variety of GPUs available to us, some of the GPU servers are best fit for graphics workstations and multi-player accelerated gaming. Instant jumpstart frameworks increase the speed and agility of the AI/ML environment with effective and efficient environment lifecycle management.Starting Price: $1 per hour -
44
Voyager SDK
Axelera AI
The Voyager SDK is purpose‑built for Computer Vision at the Edge and enables customers to solve their AI business requirements by effortlessly deploying AI on edge devices. Customers use the SDK to bring their applications into the Metis AI platform and run them on Axelera’s powerful Metis AI Processing Unit (AIPU), whether the application is developed using proprietary or standard industry models. The Voyager SDK offers end‑to‑end integration and is API‑compatible with de facto industry standards, unleashing the potential of the Metis AIPU, delivering high‑performance AI that can be deployed quickly and easily. Developers describe their end‑to‑end application pipelines in a simple, human‑readable, high‑level declarative language, YAML, with one or more neural networks and corresponding pre‑ & post‑processing tasks, including sophisticated image processing operations. -
45
SolVision
Solomon
SolVision is an advanced AI vision system developed by Solomon 3D, designed to enhance industrial automation through rapid and accurate visual inspections. Leveraging Solomon’s proprietary rapid AI model training technology, SolVision enables users to train AI models in minutes, significantly reducing setup time compared to traditional systems. It excels in various applications, including defect detection, item classification, optical character recognition, and presence/absence checks, making it suitable for industries such as manufacturing, food & beverage, textiles, and electronics. A standout feature is its ability to learn from as few as 1–5 image samples, streamlining the training process and minimizing the need for extensive data annotation. SolVision's intuitive user interface allows for simultaneous labeling of multiple defect types, facilitating complex classification tasks. -
46
OpenCV
OpenCV
OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in commercial products. Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code. The library has more than 2500 optimized algorithms, which includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms. These algorithms can be used to detect and recognize faces, identify objects, classify human actions in videos, track camera movements, track moving objects, extract 3D models of objects, produce 3D point clouds from stereo cameras, and stitch images together to produce a high-resolution image of an entire scene, find similar images from an image database, remove red eyes from images taken using flash, follow eye movements, recognize scenery, etc.Starting Price: Free -
47
Captur
Captur
Captur is a computer-vision SDK for adding real-time photo validation to mobile applications. Its on-device models evaluate images as they are captured and can prompt users about issues such as blur, lighting, faces, or whether a photo meets a configured policy before upload. The SDK supports iOS and Android projects and can be integrated through Swift, Kotlin, React Native, and Flutter workflows. Teams define image requirements in business terms and use Captur to guide users toward usable evidence for delivery proof, micromobility parking checks, vehicle inspections, and helmet-compliance workflows. Image analysis is designed to run offline on the device, while policy and model updates can be managed separately. Applications can also review or override model decisions. Captur is designed for product and operations teams building mobile apps that rely on consistent user-submitted images. -
48
Intel Geti
Intel
Intel® Geti™ software simplifies the process of building computer vision models by enabling fast, accurate data annotation and training. With capabilities like smart annotations, active learning, and task chaining, users can create models for classification, object detection, and anomaly detection without writing additional code. The platform also provides built-in optimizations, hyperparameter tuning, and production-ready models optimized for Intel’s OpenVINO™ toolkit. Designed to support collaboration, Geti™ helps teams streamline model development, from data labeling to model deployment. -
49
Flexible Vision
Flexible Vision
Flexible Vision is an AI machine vision software and hardware solution that enables your team to quickly and easily solve difficult visual inspections. The cloud portal allows your teams to collaborate and share vision inspection programs across factory floors. Collect 5-10 images of good parts and bad parts. Our software will optionally increase this sample size with augmentation. With a click of a button, your model will begin to be created. Your model will be ready for production in a matter of minutes. Your AI model will automatically deploy and be ready for validation. Download or sync the model to as many on-prem production lines as needed. Our high speed industrial processors quickly process your images. Simply select the ai model from a dropdown and watch the detections live on screen. Our systems are designed for either manual inspection stations or incorporated into traditional factory automation. Our systems are IO and field-bus compatible. -
50
Nyckel
Nyckel
Nyckel makes it easy to auto-label images and text using AI. We say ‘easy’ because trying to do classification through complex “we-do-it-all” AI/ML tools is hard. Especially if you’re not a machine learning expert. That’s why Nyckel built a platform that makes image and text classification easy for everyone. In just a few minutes, you can train an AI model to identify attributes of any image or text. Whether you’re sorting through images, moderating text, or needing real-time content labeling, Nyckel lets you build a custom classifier in just 5 minutes. And with our Classification API, you can auto-label at scale. Nyckel’s goal is to make AI-powered classification a practical tool for anyone. Learn more at Nyckel.com.Starting Price: Free
