Software Alternatives, Accelerators & Startups

Computer Vision Annotation Tool (CVAT) VS Roboflow Annotate

Compare Computer Vision Annotation Tool (CVAT) VS Roboflow Annotate and see what are their differences

Computer Vision Annotation Tool (CVAT) logo Computer Vision Annotation Tool (CVAT)

Powerful and efficient Computer Vision Annotation Tool (CVAT) - opencv/cvat

Roboflow Annotate logo Roboflow Annotate

Annotate images with ease. Export to any format.
  • Computer Vision Annotation Tool (CVAT) Landing page
    Landing page //
    2023-08-26
  • Roboflow Annotate Landing page
    Landing page //
    2023-08-25

Computer Vision Annotation Tool (CVAT) features and specs

  • Open Source
    CVAT is open-source, meaning its source code is freely available for anyone to use, modify, and distribute. This encourages community contributions and transparency.
  • Rich Annotation Features
    CVAT provides a wide range of annotation tools for bounding boxes, polygons, polylines, points, and more, which are essential for creating detailed datasets.
  • User-Friendly Interface
    The tool has an intuitive and responsive web interface that simplifies the annotation process, making it easier for users of all experience levels.
  • Collaboration and Multi-User Support
    CVAT supports multiple users working collaboratively on the same project, which enhances productivity in team environments.
  • Integration Capabilities
    CVAT can be easily integrated with other tools and workflows via its REST API, making it adaptable to various project needs.
  • Customizability
    Users can customize the labeling interface and adapt the platform to fit specific task requirements, adding flexibility to its use.

Possible disadvantages of Computer Vision Annotation Tool (CVAT)

  • Installation Complexity
    Setting up CVAT can be complex, requiring knowledge of Docker and command-line operations, which may be challenging for non-technical users.
  • Resource Intensive
    CVAT can be demanding on system resources, particularly when handling large datasets, which may affect performance on less powerful machines.
  • Limited Offline Functionality
    As a largely web-based application, CVAT has limited offline capabilities, which can be a constraint in environments with unreliable internet access.
  • Learning Curve
    Despite its user-friendly interface, mastering all features of CVAT can take time, particularly for users who are new to annotation tools or advanced functionalities.
  • Scalability Challenges
    While CVAT supports multiple users, scaling it for very large teams or extremely large projects may require additional infrastructure and management.

Roboflow Annotate features and specs

  • User-Friendly Interface
    Roboflow Annotate offers an intuitive and easy-to-navigate interface, making it accessible for users with varying levels of technical expertise.
  • Collaboration Features
    It provides collaboration tools that allow multiple users to work on a project simultaneously, improving efficiency and teamwork.
  • Integration with Roboflow Ecosystem
    Annotated images can be seamlessly integrated into the broader Roboflow ecosystem for model training and deployment, enhancing workflow continuity.
  • Wide Range of Annotation Tools
    Offers a comprehensive set of annotation tools, including bounding boxes, polygons, and keypoints, catering to diverse project needs.
  • Automated Annotation Suggestions
    Incorporates machine learning to provide automatic annotation suggestions, speeding up the annotation process.

Possible disadvantages of Roboflow Annotate

  • Pricing Structure
    Roboflow Annotate operates on a subscription model, which might be expensive for small teams or individuals.
  • Learning Curve for Advanced Features
    While basic features are easy to use, advanced functionalities may require a bit of a learning curve for new users.
  • Internet Dependency
    As a cloud-based application, it requires a stable internet connection for efficient use, which might be a limitation in areas with poor connectivity.
  • Performance on Large Datasets
    Handling extremely large datasets might lead to performance issues, although this is continually being improved.

Computer Vision Annotation Tool (CVAT) videos

Computer Vision Annotation Tool (CVAT): annotation mode

Roboflow Annotate videos

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Category Popularity

0-100% (relative to Computer Vision Annotation Tool (CVAT) and Roboflow Annotate)
Data Science And Machine Learning
SaaS
0 0%
100% 100
AI
75 75%
25% 25
Developer Tools
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Computer Vision Annotation Tool (CVAT) should be more popular than Roboflow Annotate. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Computer Vision Annotation Tool (CVAT) mentions (14)

  • Exploring Open-Source Alternatives to Landing AI for Robust MLOps
    Another powerful resource is CVAT, the Computer Vision Annotation Tool which supports both image and video annotations with advanced capabilities such as interpolation of shapes between frames, making it highly suitable for computer vision. - Source: dev.to / over 1 year ago
  • Need help identifying a good open source data annotation tool
    CVAT has an open source repo under MIT license: https://github.com/opencv/cvat I've not worked with it directly but it might be a good place to start. Source: over 1 year ago
  • Way to label yolov7 images fast
    An open source annotation tool that integrates object detectors is CVAT https://github.com/opencv/cvat however, using your own detector might require some coding. There is an integration for yolov5, but without modification it only loads the pretrained models. Source: about 2 years ago
  • Segment Anything Model is now available in the open-source CVAT
    This integration is currently available in the open-source version of Computer Vision Annotation Tool (http://github.com/opencv/cvat)! Please use it for your computer vision projects to segment images faster. - Source: Hacker News / about 2 years ago
  • How to build computer vision dataset labeling team in-house
    You can download the CVAT docker from a github (Link) and install it yourself, keeping all data local. And here are two options - locally on your personal computer (or company server) or in your own cloud (there are instructions on how to do this with AWS). - Source: dev.to / about 2 years ago
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Roboflow Annotate mentions (3)

  • How to implement instance segmentation using YOLOv8 neural network
    To make this process easier, there are a lot of programs exist to visually annotate images for machine learning. You can ask a search engine something like "software to annotate images for machine learning" to get a list of them. There are also many online tools that can do all this work. One of the great online tools for this is the Roboflow Annotate. Using this service, you just need to upload your images, draw... - Source: dev.to / almost 2 years ago
  • SAAS for object detection?
    I haven't used their product but looking at their website it looks like they are focused on dataset management and the pipeline around that part of the process (uploading data, understanding the data, labeling data, data curation, model assisted labeling) which is what Roboflow does with https://roboflow.com/annotate. Source: over 2 years ago
  • AI-assisted annotation tool for labels in YOLO format?
    We’re happy to sponsor personal and academic projects at Roboflow. Just reach out and we’ll hook you up: https://roboflow.com/annotate. Source: almost 4 years ago

What are some alternatives?

When comparing Computer Vision Annotation Tool (CVAT) and Roboflow Annotate, you can also consider the following products

Universal Data Tool - Machine learning, data labeling tool, computer vision, annotate-images, classification, dataset

Annotable - Ultimate image annotation & markup tool

Supervisely - Supervisely helps people with and without machine learning expertise to create state-of-the-art...

Annotate Screen - Browser based annotation tool.

Segments.ai - Multi-sensor labeling platform for robotics and autonomous driving

Good Annotations - A online annotation tool that is perfect for providing feedback to your team.