Dataset Versions

v6

2024-04-22 9:19pm

Generated on Apr 22, 2024

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 90%
699Images
Valid Set 6%
50Images
Test Set 4%
30Images

Preprocessing

Auto-Orient: Applied
Static Crop: 14-81% Horizontal Region, 10-78% Vertical Region
Resize: Fit (black edges) in 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Brightness: Between -8% and +8%
Exposure: Between -7% and +7%
Blur: Up to 0.8px

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