Dataset Versions

v6

2022-11-02 5:42pm

Generated on Nov 2, 2022

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%
1662Images
Valid Set 9%
162Images
Test Set 4%
73Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 1280x1280
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -10° and +10°
Shear: ±8° Horizontal, ±8° Vertical
Hue: Between -20° and +20°
Brightness: Between -7% and +7%
Noise: Up to 2% of pixels
Cutout: 3 boxes with 8% size each

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