Dataset Versions

v5

2024-04-10 3:06pm

Generated on Apr 10, 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.
Other Formats
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Dataset Split

Train Set 84%
867Images
Valid Set 9%
96Images
Test Set 6%
64Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 800x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -30% and +30%
Brightness: Between -10% and +10%
Exposure: Between -20% and +20%
Noise: Up to 0.2% of pixels

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