Best Image Annotation Tools - Page 2
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Compare the Top Image Annotation Tools as of August 2025 - Page 2
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Encord
Encord
Achieve peak model performance with the best data. Create & manage training data for any visual modality, debug models and boost performance, and make foundation models your own. Expert review, QA and QC workflows help you deliver higher quality datasets to your artificial intelligence teams, helping improve model performance. Connect your data and models with Encord's Python SDK and API access to create automated pipelines for continuously training ML models. Improve model accuracy by identifying errors and biases in your data, labels and models. -
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Tictag
Tictag
Your AI deserves the best data. With industry-leading 99% accuracy, take the stress out of getting your machine learning datasets on Tictag with our unique mobile data platform and Truetag quality control. Tictag's first-of-its-kind mobile data platform combines a user-friendly interface with gamified elements to produce the highest quality datasets, powered by our proprietary Truetag quality control system. This is technology-enhanced labeling at its best. Tictag efficiently collects and labels the most complex and intricate of datasets with near-100% accuracy for AI and ML models in short turnarounds. Data labeling has never been faster or easier. Do it once and do it right. Tictag's technology-augmented Truetag quality control ensures your data is exactly as you need it. Through Tictag, your data needs, in turn, help people who need another source of income, or a way to learn new skills. -
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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. -
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Colabeler
Colabeler
Image classification, bounding box, polygon, curve, 3D localization Video trace, text classification, text entity labeling. Support custom task plugin, you can create your own label tool. Export PascalVoc XML (The same format used by ImageNet) and CoreNLP file. Supports Windows/Mac/CentOS/Ubuntu. -
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Appen
Appen
The Appen platform combines human intelligence from over one million people all over the world with cutting-edge models to create the highest-quality training data for your ML projects. Upload your data to our platform and we provide the annotations, judgments, and labels you need to create accurate ground truth for your models. High-quality data annotation is key for training any AI/ML model successfully. After all, this is how your model learns what judgments it should be making. Our platform combines human intelligence at scale with cutting-edge models to annotate all sorts of raw data, from text, to video, to images, to audio, to create the accurate ground truth needed for your models. Create and launch data annotation jobs easily through our plug and play graphical user interface, or programmatically through our API. -
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Dataloop AI
Dataloop AI
Manage unstructured data and pipelines to develop AI solutions at amazing speed. Enterprise-grade data platform for vision AI. Dataloop is a one-stop shop for building and deploying powerful computer vision pipelines data labeling, automating data ops, customizing production pipelines and weaving the human-in-the-loop for data validation. Our vision is to make machine learning-based systems accessible, affordable and scalable for all. Explore and analyze vast quantities of unstructured data from diverse sources. Rely on automated preprocessing and embeddings to identify similarities and find the data you need. Curate, version, clean, and route your data to wherever it’s needed to create exceptional AI applications. -
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Edgecase Platform
edgecase.ai
Using the Edgecase Platform your A.I. team can easily create 100k labeled images in less than a single day. As the data is generated from 3D models and Real life blended imagery the data is accurate to the finest pixel. No more worry about data accuracy. Each model and camera angle can be modified - it's at the tip of your fingers to change: Lighting, Textures, Camera Angles, Scene types and more. All are accessible via the cloud - your A.I. team can create their own datasets via your existing data and our robust library of available 3d hyper-realistic models. edge case has teamed up with a variety of hospitals and medical institutions to provide radiologists, geneticists and other healthcare professionals with AI-powered medical imaging solutions. MD's on Demand. edgecase has teamed up with a variety of agricultural institutions to provide expert level services in disease detection, insect identification, and more. -
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Sixgill Sense
Sixgill
Every step of the machine learning and computer vision workflow is made simple and fast within one no-code platform. Sense allows anyone to build and deploy AI IoT solutions to any cloud, the edge or on-premise. Learn how Sense provides simplicity, consistency and transparency to AI/ML teams with enough power and depth for ML engineers yet easy enough to use for subject matter experts. Sense Data Annotation optimizes the success of your machine learning models with the fastest, easiest way to label video and image data for high-quality training dataset creation. The Sense platform offers one-touch labeling integration for continuous machine learning at the edge for simplified management of all your AI solutions. -
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Segments.ai
Segments.ai
Segments.ai is an advanced data labeling platform that allows users to label data from multiple sensors simultaneously, improving the speed and accuracy of labeling for robotics and autonomous vehicle (AV) applications. It supports 2D and 3D labeling, including point cloud annotation, and enables users to label moving and stationary objects with ease. The platform leverages smart automation tools like batch mode and ML-powered object tracking, streamlining workflows and reducing manual labor. By fusing 2D image data with 3D point cloud data, Segments.ai offers a more efficient and consistent labeling process, ideal for high-volume, multi-sensor projects. -
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Innotescus
Innotescus
Innotescus is a collaborative video and image annotation platform built to streamline Computer Vision development processes via seamless data handling, smart annotation tools, and intuitive collaboration features. Additionally, its data visualization tools and cross-functional collaboration features identify data bias early, improve data accuracy, and enable faster, cost-efficient deployment of high performance Artificial Intelligence. -
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Anolytics
Anolytics
Anolytics provides data annotation service for image, videos & text for machine learning and AI-based computer vision. Anolytics offers a low-cost annotation service for machine learning and artificial intelligence model developments. It is providing the precisely annotated data in the form of text, images and videos using the various annotation techniques while ensuring the accuracy and quality. It is specialized in Image Annotation, Video Annotation and Text Annotation with best accuracy. Anolytics is providing all leading types of data annotation service used as a data training in machine learning and deep learning. It offers Bounding Boxes, Semantic Segmentation, 3D Point Cloud Annotation and 3D Cuboid Annotation for fields like healthcare, autonomous driving or drone falying, retail, security surveillance and agriculture. Anolytics works with scalable solution, available at turnaround time and cost-effective pricing for clients across the globe. -
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Automaton AI
Automaton AI
With Automaton AI’s ADVIT, create, manage and develop high-quality training data and DNN models all in one place. Optimize the data automatically and prepare it for each phase of the computer vision pipeline. Automate the data labeling processes and streamline data pipelines in-house. Manage the structured and unstructured video/image/text datasets in runtime and perform automatic functions that refine your data in preparation for each step of the deep learning pipeline. Upon accurate data labeling and QA, you can train your own model. DNN training needs hyperparameter tuning like batch size, learning, rate, etc. Optimize and transfer learning on trained models to increase accuracy. Post-training, take the model to production. ADVIT also does model versioning. Model development and accuracy parameters can be tracked in run-time. Increase the model accuracy with a pre-trained DNN model for auto-labeling. -
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Toloka AI
Toloka AI
Toloka AI offers a data-centric environment that supports fast and scalable AI development across the ML lifecycle with the help of human insight gathered in a responsible & secure way. Toloka is used by organizations in e-commerce, R&D, banking, autonomous vehicles, web services, and more. Toloka relies on a geographically diverse crowd of several million registered users and state-of-the-art technologies for managing data labeling and human-in-the-loop processes. Established in 2014, the company has offices around the world, with headquarters in Lucerne. -
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Sama
Sama
We offer the highest quality SLA (>95%), even on the most complex workflows. Our team assists with anything from implementing a robust quality rubric to raising edge cases. As an ethical AI company, we have provided economic opportunities for over 52,000 people from underserved and marginalized communities. ML Assisted annotation created up to 3-4x efficiency improvement for a single class annotation. We quickly adapt to ramp-ups, focus shifts, and edge cases. ISO certified delivery centers, biometric authentication, and user authentication with 2FA ensure a secure work environment. Seamlessly re-prioritize tasks, provide quality feedback, and monitor models in production. We support data of all types. Get more with less. We combine machine learning and humans in the loop to filter data and select images relevant to your use case. Receive sample results based on your initial guidelines. We work with you to identify edge cases and recommend annotation best practices. -
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Zastra
RoundSqr
Extend the platform to support annotation for segmentation. The Zastra repository will have algorithms that support segmentation for enabling active learning of datasets. Provide end-to-end ML ops-version control for datasets / experiments and templated pipelines, to deploy the model to standard cloud-based environments and the Edge. Incorporate advances in Bayesian deep learning in the active learning framework. Further, improve the quality of annotations using specialized architectures like Bayesian CNN. Our experts have spent countless hours hand-crafting this breakthrough solution for you. While we’re still actively adding features to the platform, we just couldn’t wait to take you on a test drive! Zastra’s key capabilities include Active-Learning based object classification, object detection, localization, and segmentation. We can do this for images, video, audio, text, and point cloud data. -
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LabelMe
LabelMe
The goal of LabelMe is to provide an online annotation tool to build image databases for computer vision research. You can contribute to the database by visiting the annotation tool. Organization of images into collections: You can organize the images into collections. You can also create collections inside collections just as you would do with folders. When you download your database, the collections will be organized into folders. Uploading and image annotation: You can upload images into your collections and annotate your images using the online LabelMe annotation tool. Unlisted collections are ones that anyone can view if they have access to the URL, but will not be displayed in the set of public folders. As the goal of LabelMe is to provide a tool for research, the images and annotations are expected to become available to the research comunity without restrictions. -
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RAIC
RAIC Labs
Build, train, and deploy models in minutes, not months, without human labeling. Find Anything, Fast Provide a single example object image to begin the process. RAIC will find similar objects in an unlabeled dataset. The results are then contextually associated with the original starting image so that you can improve the AI by identifying the best results through an intuitive human nudge tool. Identify and Classify Categorize data based on whatever you need to detect — that might be one thing, or many different things. Once contextually associated, RAIC lets you easily group and identify items into categories that will help feed training. Quick Train or Deep Train RAIC then builds you a detection or classification model. You can decide between Quick Train - for time-critical use cases or rapid prototyping - or Deep Train, a traditional, high-accuracy model for when time is less of a constraint. -
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Zuru
Zuru Services
End to end scalable annotation solutions with swift turn-around-time & stellar accuracy. 2D/3D bounding boxes, polygons, polylines, landmark & semantic segmentation solutions to serve use cases ranging from LiDAR to Geo spatial imagery. Zuru’s teams work on complicated computer vision algorithms with complex edge cases & taxonomies. Text annotations in all major global languages including languages like Bahasa, Cantonese, Finnish, Hungarian & more. Fully managed & trained linguistic labelling experts who’ve annotated more than 10 million data points in industries ranging from Retail to BFSI to Healthcare. Be it sophisticated labelling for customer centre automation, basic transcription, Audio diarization, Zuru’s teams have done it all. Multilingual translator & interpreter workforce well versed in an array of accents and dialects helping AI teams understand cultural nuances in languages across geographies. -
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Sanitas AI
Sanitas AI
Harness data science to amplify traditional knowledge and ensure better and bias-free health outcomes for native communities. We're on a mission to bridge research, medicine, and data science. We want to build an all-in-one data science platform for the research and medical industry. Machine learning, generative AI, and data science can help revolutionize these fields, and we want to bring those advancements to you. Our platform enables you to manage, classify, and analyze your photo & video data. Automatically label images, extract insights, and generate synthetic data based on your work. Bias detection and community collaboration features coming soon. We aim to create something that is for social good too. Apart from closing the gap of accessibility of technology, we are aiming to ensure that the models that we use are free from algorithmic biases that are commonplace in technology. -
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Hive AutoML
Hive
Build and deploy deep learning models for custom use cases. Our automated machine learning process allows customers to create powerful AI solutions built on our best-in-class models and tailored to the specific challenges they face. Digital platforms can quickly create models specifically made to fit their guidelines and needs. Build large language models for specialized use cases such as customer and technical support bots. Create image classification models to better understand image libraries for search, organization, and more. -
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DataVLab
DataVLab
DataVLab offers high-quality image annotation and data labeling services for AI. -
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Deepen
Deepen
Deepen AI offers advanced multi-sensor data labeling and calibration tools and services to accelerate computer vision training for autonomous vehicles, robotics, and more. Their annotation suite supports various key cases, including 2D and 3D bounding boxes, semantic and instance segmentation, polylines, and key points. The platform is AI-powered, featuring pre-labeling capabilities that can automatically label up to 80 common classes, improving productivity by seven times. It also includes machine learning-assisted segmentation, allowing users to segment objects with just a few clicks, and accurate object detection and tracking across frames to avoid duplicate efforts and save time. Deepen AI's calibration suite supports all key sensor types, such as LiDAR, camera, radar, IMU, and vehicle sensors. The tools enable seamless visualization and inspection of multi-sensor data integrity, and calculation of intrinsic and extrinsic calibration parameters in seconds. -
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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. -
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Tasq.ai
Tasq.ai
Tasq.ai delivers a powerful, no-code platform for building hybrid AI workflows that combine state-of-the-art machine learning with global, decentralized human guidance, ensuring unmatched scalability, control, and precision. It enables teams to configure AI pipelines visually, breaking tasks into micro-workflows that layer automated inference and quality-assured human review. This decoupled orchestration supports diverse use cases across text, computer vision, audio, video, and structured data, with rapid deployment, adaptive sampling, and consensus-based validation built in. Key capabilities include global deployment of highly screened contributors (“Tasqers”) for unbiased, high-accuracy annotations; granular task routing and judgment aggregation to meet confidence thresholds; and seamless integration into ML ops pipelines via drag-and-drop customization. -
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TELUS International Ground Truth (GT)
TELUS International
Our proprietary AI training data platform combines the best of data annotation and computer vision capabilities with the power of our AI Community of professional annotators - all managed within the same platform experience. GT Manage: Our proprietary platform management tool for our 1M + community. GT Annotate: Our proprietary data annotation software. GT Data: Our global expertise in data creation and collection. It all starts with human-powered AI. Our fully-automated platform allows for sophisticated data annotation across all data types within the same software, while also providing seamless project and AI Community management. Ground Truth (GT) Annotate is our proprietary data annotation software, carefully designed to enable teams to be more efficient, fast and accurate creating quality AI training datasets at scale. Below are a few examples of the technology in action. -
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UHRS (Universal Human Relevance System)
Microsoft
When you need transcription, data validation, classification, sentiment analysis, or other related tasks, UHRS can give you what you need. We provide human intelligence to train machine learning models to help you solve some of your most challenging problems. We make it easy for judges to access UHRS anywhere, at any time. All that’s needed is an internet connection, and judges are good to go. Work on tasks like video annotation in just a few minutes. With UHRS, you can classify thousands of images quickly and easily. Train your products and tools with improved image detection, boundary recognition, and more with high quality annotated image data. Classify images, semantic segmentation, object detection. Validating audio to text, conversation, and relevance. Identify sentiment of a tweet, and document classification. Ad hoc data collection tasks, information correction/moderation, and survey. -
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Klatch
Klatch Technologies
Klatch Technologies is a global data services provider helping companies and institutions collect, annotate, and process data. We assist Artificial Intelligence companies, research institutions, Machine Learning or Computer Vision projects in data labeling, data collection, content moderation, and other data projects. Our Specialists provide rapid scalability, precise accuracy, swift turnaround time, multilingual capability, and data security at a low-cost. - Data Annotation Services: Image Annotation Video Annotation Search Relevance Text NLP Annotation Text Classification Sentiment Analysis Image Segmentation LIDAR Annotation - Data Collection Services: Healthcare Training Data Chatbot Training Data & all other data collection needs - IT Managed Services: Content Moderation Ecommerce Data Categorization -
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CrowdAI
CrowdAI
Systematically manage the end-to-end AI pipeline, from raw data to production. Build custom models that are sensitive to your operations, powering competitive advantage. Build a diverse AI workforce that can easily build and deploy AI, all without a single line of code. Put AI into action anywhere, on the factory floor, in outer space, or anywhere in between. Invest in a proven platform, deployed in some of the most data-sensitive environments. Assisted user flows to walk you through creating your first model. Rather than siloing enterprise data across cloud providers and hardware devices, centralize all media into a single, curated library that is optimized for discoverability. -
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Labelbox
Labelbox
The training data platform for AI teams. A machine learning model is only as good as its training data. Labelbox is an end-to-end platform to create and manage high-quality training data all in one place, while supporting your production pipeline with powerful APIs. Powerful image labeling tool for image classification, object detection and segmentation. When every pixel matters, you need accurate and intuitive image segmentation tools. Customize the tools to support your specific use case, including instances, custom attributes and much more. Performant video labeling editor for cutting-edge computer vision. Label directly on the video up to 30 FPS with frame level. Additionally, Labelbox provides per frame label feature analytics enabling you to create better models faster. Creating training data for natural language intelligence has never been easier. Label text strings, conversations, paragraphs, and documents with fast & customizable classification. -
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Innodata
Innodata
We Make Data for the World's Most Valuable Companies Innodata solves your toughest data engineering challenges using artificial intelligence and human expertise. Innodata provides the services and solutions you need to harness digital data at scale and drive digital disruption in your industry. We securely and efficiently collect & label your most complex and sensitive data, delivering near-100% accurate ground truth for AI and ML models. Our easy-to-use API ingests your unstructured data (such as contracts and medical records) and generates normalized, schema-compliant structured XML for your downstream applications and analytics. We ensure that your mission-critical databases are accurate and always up-to-date.