Dataset Versions

v2

2024-09-30 6:14am

Generated on Sep 30, 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 88%
1029Images
Valid Set 8%
98Images
Test Set 4%
49Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 192x192

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -20° and +20°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -10° and +10°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -12% and +12%
Blur: Up to 3px
Noise: Up to 0.97% of pixels
Cutout: 5 boxes with 7% size each

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