Dataset Versions

v2

2022-08-02 12:48pm

Generated on Aug 2, 2022

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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 81%
1437Images
Valid Set 14%
244Images
Test Set 5%
95Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -20° and +20°
Shear: ±13° Horizontal, ±13° Vertical
Brightness: Between -20% and +20%
Blur: Up to 2px
Noise: Up to 8% of pixels
Cutout: 6 boxes with 10% size each

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