Dataset Versions

v5

2024-11-29 10:18pm

Generated on Nov 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 82%
1623Images
Valid Set 15%
308Images
Test Set 3%
57Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -22° and +22°
Saturation: Between -32% and +32%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.8px
Noise: Up to 1.68% of pixels

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