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CVAT
Leading Data Annotation Platform for Machine Learning

What is CVAT?

CVAT (Computer Vision Annotation Tool) is a powerful data annotation platform designed specifically for machine learning and computer vision applications. The platform features a blazing-fast, intuitive user interface that has been developed through close collaboration with real-world teams solving practical problems.

The platform supports multiple annotation formats and types, including image classification, object detection, semantic segmentation, and 3D point cloud labeling. With integrated AI assistance, cloud storage capabilities, and comprehensive project management features, CVAT enables teams to annotate data up to 10x faster while maintaining high accuracy and consistency.

Features

  • Auto Annotation: AI-assisted labeling for up to 10x faster annotation speed
  • Multiple Annotation Tools: Support for bounding boxes, polygons, points, skeletons, and cuboids
  • Cloud Storage Integration: Compatible with AWS S3, Google Cloud Storage, and Azure Blob Storage
  • Analytics Dashboard: Detailed metrics for annotator performance and project progress
  • 19 Annotation Formats: Support for PASCAL VOC, YOLO, COCO, and more
  • Quality Control: Manual review and ground truth job capabilities

Use Cases

  • Healthcare image analysis for disease detection
  • Retail automation and product recognition
  • Drone and aerial imagery analysis
  • Sports motion analysis and training
  • Automotive and pedestrian tracking
  • Manufacturing quality control
  • 3D point cloud annotation

FAQs

  • What types of data can be annotated with CVAT?
    CVAT supports annotation of images (.jpeg, .png, .bmp, .ppm, .pdf, .tiff), videos (.mp4, .avi, .mov), and 3D data (.pcd, .bin).
  • How does CVAT speed up the annotation process?
    CVAT uses AI-assisted annotation and algorithmic tools like intelligent scissors and histogram equalization to make the annotation process up to 10x faster.
  • What storage options are available for datasets?
    CVAT supports both internal storage and cloud storage integration with AWS S3, Google Cloud Storage, and Azure Blob Storage.

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