Topics / #image-annotation

Image-annotation projects on GitHub

Labeling images with boxes and masks for computer vision datasets.

As of , the most-starred Image-annotation projects on GitHub are ShareX (40.2K stars), label-studio (28.5K stars) and cvat (17K stars). GitHub.Locker tracks 5 Image-annotation repositories with 102.1K stars combined. The fastest-growing on October 19 was ShareX, with +35 stars in a day.

5Projects
102.1KStars in total
+60Stars in a day

Hot right now

Most stars gained in a day · Oct 19

The all-time top

5 projects · by stars

  1. #1 · ShareX/ShareX

    ShareX

    A free, open-source screen capture, screen recording, file sharing and productivity app for Windows — it captures any area of your screen and uploads images, text and files to many destinations.

    40.2K
  2. #2 · HumanSignal/label-studio

    label-studio

    Label Studio is an open source data labeling and annotation tool: you label audio, text, images, videos, and time series in a browser UI and export the results in formats ready for ML training.

    28.5K
  3. #3 · cvat-ai/cvat

    cvat

    CVAT is an open-source, self-hosted data annotation platform for building labeled datasets from images, video, and 3D point clouds, used for computer vision and visual AI projects.

    17K
  1. 4

    labelme

    16.2Kwkentaro/labelme · Python

    Labelme is a graphical image annotation tool written in Python: you draw polygons, rectangles, circles, lines and points on images to build labeled datasets for computer vision work.

  2. 5

    ParkerLabel

    109Parker-Lyu/ParkerLabel · Python

    ParkerLabel is a lightweight, AI-assisted interactive annotation tool for object detection and instance segmentation that uses MobileSAM to generate masks from click prompts.

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