Babyhamsta/Yoable

An easy to use C# open source image labeler for YOLO with AI auto label abilities via YOLO/Onnx models.

47
/ 100
Emerging

This tool helps researchers, data scientists, or anyone working with computer vision to efficiently create labeled image datasets. You input raw images and an optional pre-trained AI model, and the output is a set of images with bounding boxes around objects of interest, saved in the YOLO format. This is for users who need to prepare image data for training or evaluating machine learning models.

Use this if you need to quickly and accurately label objects in images for computer vision projects, especially when using YOLO models, and want AI assistance to speed up the process.

Not ideal if you need to label video frames with complex, overlapping objects requiring advanced segmentation masks, or if you don't work with bounding box annotations.

computer-vision data-labeling object-detection image-annotation machine-learning-datasets
No License No Package No Dependents
Maintenance 13 / 25
Adoption 8 / 25
Maturity 8 / 25
Community 18 / 25

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Stars

66

Forks

14

Language

C#

License

Last pushed

Mar 17, 2026

Commits (30d)

0

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