Dataset Versions

v19

2023-12-06 1:03pm

Generated on Dec 6, 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 88%
1953Images
Valid Set 8%
184Images
Test Set 4%
92Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -33° and +33°
Shear: ±7° Horizontal, ±7° Vertical
Hue: Between -10° and +10°
Saturation: Between -25% and +25%
Brightness: Between 0% and +17%
Cutout: 7 boxes with 2% size each

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