Dataset Versions

v11

2023-05-12 2:10pm

Generated on May 12, 2023

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 88%
1844Images
Valid Set 9%
180Images
Test Set 3%
60Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -40% and +40%
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down

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