Dataset Versions

v1

2022-04-16 12:10am

Generated on Apr 15, 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 90%
4488Images
Valid Set 6%
307Images
Test Set 4%
206Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±25° Horizontal, ±25° Vertical
Brightness: Between -30% and +30%
Exposure: Between -12% and +12%
Blur: Up to 2px
Noise: Up to 4% of pixels
Mosaic: Applied

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