Topics / #bounding-boxes

Bounding-boxes projects on GitHub

Bounding box annotations and augmentations for object detection tasks

As of , the most-starred Bounding-boxes projects on GitHub are label-studio (28.5K stars), labelImg (25K stars) and albumentations (15.3K stars). GitHub.Locker tracks 5 Bounding-boxes repositories with 83.7K stars combined. The fastest-growing on October 16 was label-studio, with +4 stars in a day.

5Projects
83.7KStars in total
+4Stars in a day

Hot right now

Most stars gained in a day · Oct 16

The all-time top

5 projects · by stars

  1. #1 · 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
  2. #2 · HumanSignal/labelImg

    labelImg

    A graphical image annotation tool: you draw bounding boxes around objects in images to build labeled datasets for object detection. Created by Tzutalin, it now lives with the Label Studio community.

    25K
  3. #3 · albumentations-team/albumentations

    albumentations

    Albumentations is a fast, flexible Python library for image augmentation used in training computer vision models, offering a huge set of pixel-level and spatial-level transforms for images, masks, bounding boxes, keypoints, and even 3D volumes.

    15.3K
  1. 4

    imgaug

    14.7Kaleju/imgaug · Python

    imgaug is a Python library that augments images for machine learning by converting a set of input images into a much larger set of slightly altered versions.

  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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