Dataset Versions

v2

2022-08-20 8:54pm

Generated on Aug 20, 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.
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Dataset Split

Train Set 87%
1998Images
Valid Set 8%
192Images
Test Set 4%
95Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -22° and +22°
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 4px
Noise: Up to 5% of pixels
Mosaic: Applied

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