Dataset Versions

v11

train- valid-test v1

Generated on Dec 15, 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%
1050Images
Valid Set 8%
100Images
Test Set 4%
50Images

Preprocessing

Resize: Fit (black edges) in 244x244

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±20° Horizontal, ±20° Vertical
Brightness: Between 0% and +40%
Exposure: Between -8% and +8%
Blur: Up to 0.75px
Noise: Up to 3% of pixels

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