Dataset Versions

v3

2023-04-10 3:18pm

Generated on Apr 10, 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 87%
9705Images
Valid Set 6%
705Images
Test Set 6%
693Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 3 remapped, 0 dropped

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -10° and +10°
Shear: ±7° Horizontal, ±7° Vertical
Hue: Between -30° and +30°
Saturation: Between -32% and +32%
Brightness: Between -10% and +10%
Noise: Up to 2% of pixels

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