Dataset Versions

v8

2022-11-12 11:05am

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 87%
1695Images
Valid Set 9%
174Images
Test Set 5%
90Images

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 1.5px
Noise: Up to 3% of pixels
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical

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