label-studio and labelImg

LabelImg is an ecosystem sibling to Label Studio, as it is a no longer actively developed image annotation tool whose community and users are now being directed towards Label Studio.

label-studio
78
Verified
labelImg
51
Established
Maintenance 22/25
Adoption 10/25
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:
Commits (30d): 58
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

Label Studio helps data professionals organize and prepare their raw datasets for machine learning model training. You can upload various types of data, such as images, audio, text, videos, and time series, and then use a simple interface to add labels or annotations. This process transforms your unstructured data into structured, labeled datasets ready for building or improving AI models.

data-annotation machine-learning-engineering dataset-preparation data-labeling AI-training-data

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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