Dataset Versions

v20

v8 2544

Generated on Jun 10, 2022

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 91%
2277Images
Valid Set 6%
151Images
Test Set 3%
79Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Modify Classes: 0 remapped, 0 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Hue: Between -29° and +29°
Saturation: Between -60% and +60%
Brightness: Between -36% and +36%
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down

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