label-studio and labelImg

label-studio
91
Verified
labelImg
51
Established
Maintenance 25/25
Adoption 20/25
Maturity 25/25
Community 21/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Stars: 26,703
Forks: 3,431
Downloads: 103,438
Commits (30d): 99
Language: TypeScript
License: Apache-2.0
Stars: 24,849
Forks: 6,584
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No risk flags
Archived Stale 6m No Package No Dependents

About label-studio

HumanSignal/label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

Supports active learning workflows by integrating ML models for automated pre-labeling and interactive predictions through a backend service API. Built on Django with a React frontend, it offers flexible storage backends (SQLite, PostgreSQL, S3/MinIO) and exports annotations in framework-specific formats for direct use in ML pipelines.

About labelImg

HumanSignal/labelImg

LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.

Built with PyQt for its graphical interface, LabelImg outputs bounding box annotations in multiple formats—PASCAL VOC (ImageNet standard), YOLO, and CreateML—enabling compatibility with diverse computer vision pipelines. The tool supports batch processing via directory loading, predefined class lists, and annotation visualization by loading existing label files alongside images, streamlining workflows for dataset preparation.

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