Dataset Versions

v22

2022-11-02 6:21pm

Generated on Nov 2, 2022

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 76%
3264Images
Valid Set 9%
405Images
Test Set 15%
638Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -20° and +20°
Shear: ±20° Horizontal, ±20° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 2% of pixels
Cutout: 3 boxes with 4% size each