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CVAT (Computer Vision Annotation Tool)

Annotate smarter with CVAT, the industry-leading data annotation platform for machine learning.

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Overview

CVAT (Computer Vision Annotation Tool) is a free, open-source, web-based image and video annotation tool which is used for labeling data for computer vision algorithms. It was developed by Intel. It has a user-friendly interface and supports a variety of annotation tasks, including object detection, image classification, and image segmentation.

✨ Key Features

  • Bounding boxes, polygons, polylines, points, and cuboids
  • Automatic annotation using the TensorFlow Object Detection API
  • Interpolation of bounding boxes between keyframes
  • LDAP for user and permission management
  • Collaborative annotation projects
  • Support for a wide range of file formats

🎯 Key Differentiators

  • Open-source and free
  • Highly extensible and customizable
  • Strong community support

Unique Value: A powerful and free open-source tool for image and video annotation that offers a high degree of customization.

🎯 Use Cases (5)

Object detection in images and videos Image segmentation Image classification Autonomous vehicle development Medical imaging analysis

✅ Best For

  • Annotating data for training object detection models
  • Creating segmentation masks for medical images
  • Labeling images for self-driving car algorithms

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Natural language processing tasks
  • Audio annotation

🏆 Alternatives

Labelbox SuperAnnotate V7 Labs

While commercial alternatives may offer more polished user interfaces and dedicated support, CVAT's open-source nature and extensibility make it a compelling choice for teams with technical expertise.

💻 Platforms

Web

🔌 Integrations

TensorFlow Object Detection API NVIDIA CUDA Toolkit OpenVINO Toolkit

🛟 Support Options

  • ✓ Email Support
  • ✓ Dedicated Support (Enterprise tier)

🔒 Compliance & Security

✓ GDPR ✓ SSO

💰 Pricing

Contact for pricing
Free Tier Available

Free tier: Open-source and free to use.

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