Best Computer Vision Software for TensorFlow

Compare the Top Computer Vision Software that integrates with TensorFlow as of July 2025

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This a list of Computer Vision software that integrates with TensorFlow. Use the filters on the left to add additional filters for products that have integrations with TensorFlow. View the products that work with TensorFlow in the table below.

What is Computer Vision Software for TensorFlow?

Computer vision software allows machines to interpret and analyze visual data from images or videos, enabling applications like object detection, image recognition, and video analysis. It utilizes advanced algorithms and deep learning techniques to understand and classify visual information, often mimicking human vision processes. These tools are essential in fields like autonomous vehicles, facial recognition, medical imaging, and augmented reality, where accurate interpretation of visual input is crucial. Computer vision software often includes features for image preprocessing, feature extraction, and model training to improve the accuracy of visual analysis. Overall, it enables machines to "see" and make informed decisions based on visual data, revolutionizing industries with automation and intelligence. Compare and read user reviews of the best Computer Vision software for TensorFlow currently available using the table below. This list is updated regularly.

1

Lightly

Lightly

Lightly selects the subset of your data with the biggest impact on model accuracy, allowing you to improve your model iteratively by using the best data for retraining. Get the most out of your data by reducing data redundancy, and bias, and focusing on edge cases. Lightly's algorithms can process lots of data within less than 24 hours. Connect Lightly to your existing cloud buckets and process new data automatically. Use our API to automate the whole data selection process. Use state-of-the-art active learning algorithms. Lightly combines active- and self-supervised learning algorithms for data selection. Use a combination of model predictions, embeddings, and metadata to reach your desired data distribution. Improve your model by better understanding your data distribution, bias, and edge cases. Manage data curation runs and keep track of new data for labeling and model training. Easy installation via a Docker image and cloud storage integration, no data leaves your infrastructure.

1 Rating

Starting Price: $280 per month

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2

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

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3

Interplay

Iterate.ai

Interplay Platform is a patented low-code platform with 475 pre-built connectors (enterprise, AI, IoT, Startup Technologies). It's used as middleware and as a rapid app building platform by big companies like Circle K, Ulta Beauty, and many others. As middleware, it operates Pay-by-Plate (frictionless payments at the gas pump) in Europe, Weapons Detection (to predict robberies), AI-based Chat, online personalization tools, low price guarantee tools, computer vision applications such as damage estimation, and much more. It also helps companies to go to market with their digital solutions 10X to 17X faster than in old ways.

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4

Unleash live

Unleash

Unleash live is an A.I. video analytics enterprise solution provider. We take a vision from any camera and combine it with computer vision to deliver actionable data in real-time so that your organization has immediate insights to drive down costs, improve productivity, increase accuracy, and improve safety. Support for a wide range of cameras. Connect any combination of IP/CCTV, drone, body cam, mobile or robotic cameras. Live stream in the field and share it with your team while operations are in progress, or upload footage into your account. Apply A. I Apps from our app store to detect, inspect and monitor objects and items of interest or create 2D orthomaps and 3D models. Integrate results into your operational workflow, from live dashboards, to notifications and API integrations. Take the complexity and time out of collaboration. Instantly connect any mix of cameras to share over a live stream with stakeholders and 3rd parties. No plugs-in, no downloads, all in the browser.

Starting Price: $99 per month

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5

Voxel51

Voxel51

Voxel51 is the company behind FiftyOne, the open-source toolkit that enables you to build better computer vision workflows by improving the quality of your datasets and delivering insights about your models. Explore, search, and slice your datasets. Quickly find the samples and labels that match your criteria. Use FiftyOne’s tight integrations with public datasets like COCO, Open Images, and ActivityNet, or create your own datasets from scratch. Data quality is a key limiting factor in model performance. Use FiftyOne to identify, visualize, and correct your model’s failure modes. Annotation mistakes lead to bad models, but finding mistakes by hand isn’t scalable. FiftyOne helps automatically find and correct label mistakes so you can curate higher-quality datasets. Aggregate performance metrics and manual debugging don’t scale. Use the FiftyOne Brain to identify edge cases, mine new samples for training, and much more.

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6

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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