Dataset Versions

v10

2022-11-12 11:17am

Generated on Nov 12, 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 82%
1500Images
Valid Set 11%
197Images
Test Set 7%
132Images

Preprocessing

Resize: Stretch to 640x640
Modify Classes: 10 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±23° Horizontal, ±7° Vertical
Brightness: Between -25% and +25%
Blur: Up to 1.25px
Noise: Up to 1% of pixels
Bounding Box: Flip: Horizontal, Vertical

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