Dataset Versions

v2

Low-res V2

Generated on Aug 12, 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.
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Dataset Split

Train Set 88%
1245Images
Valid Set 8%
118Images
Test Set 4%
59Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 160x160

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -12° and +12°
Shear: ±2° Horizontal, ±2° Vertical
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 0.8px

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