Topics / #data-labeling

Data-labeling projects on GitHub

Annotation platforms for labeling training data.

As of , the most-starred Data-labeling projects on GitHub are label-studio (28.5K stars), labelImg (25K stars) and Grounded-Segment-Anything (17.8K stars). GitHub.Locker tracks 7 Data-labeling repositories with 94.2K stars combined. The fastest-growing on October 18 was label-studio, with +10 stars in a day.

7Projects
94.2KStars in total
+18Stars in a day
Browse in the catalog →github.com/topics/data-labeling ↗

Hot right now

Most stars gained in a day · Oct 18

+10

label-studio

HumanSignal/label-studio · ★ 28.5K

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.

+6

Grounded-Segment-Anything

IDEA-Research/Grounded-Segment-Anything · ★ 17.8K

Grounded SAM, a research demo project that combines Grounding DINO with Segment Anything to detect and segment any object in an image from a plain text prompt, extended with Stable Diffusion, RAM, Whisper and more.

+1

cleanlab

cleanlab/cleanlab · ★ 11.7K

Cleanlab is an open-source Python library that automatically finds issues in ML datasets — label errors, outliers, duplicates — using your existing models, so that fixing the data trains better models.

+1

doccano

doccano/doccano · ★ 10.8K

Doccano is an open-source text annotation tool that lets humans label data for machine learning tasks like text classification, sequence labeling, and sequence-to-sequence problems such as summarization or translation.

The all-time top

7 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 · IDEA-Research/Grounded-Segment-Anything

    Grounded-Segment-Anything

    Grounded SAM, a research demo project that combines Grounding DINO with Segment Anything to detect and segment any object in an image from a plain text prompt, extended with Stable Diffusion, RAM, Whisper and more.

    17.8K
  1. 4

    cleanlab

    11.7Kcleanlab/cleanlab · Python

    Cleanlab is an open-source Python library that automatically finds issues in ML datasets — label errors, outliers, duplicates — using your existing models, so that fixing the data trains better models.

  2. 5

    doccano

    10.8Kdoccano/doccano · Python

    Doccano is an open-source text annotation tool that lets humans label data for machine learning tasks like text classification, sequence labeling, and sequence-to-sequence problems such as summarization or translation.

  3. 6

    jev-align

    309sutro-sh/jev-align · Python

    An experimental CLI from Sutro for building calibrated AI Functions on TypeSafe's Jev: it finds uncertain examples in your dataset, has you label them, and uses GEPA to keep improving the function.

  4. 7

    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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