Dataset Versions

v5

2023-11-23 7:07pm

Generated on Nov 24, 2023

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 84%
870Images
Valid Set 9%
97Images
Test Set 7%
71Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -25° and +25°
Shear: ±40° Horizontal, ±35° Vertical
Hue: Between -60° and +60°
Saturation: Between -55% and +55%
Brightness: Between -40% and +40%
Exposure: Between -35% and +35%
Blur: Up to 3.5px
Noise: Up to 8% of pixels

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