Dataset Versions

v17

2023-01-05 11:58am

Generated on Jan 5, 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.
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Dataset Split

Train Set 92%
3174Images
Valid Set 4%
130Images
Test Set 4%
135Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 160x160
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -45° and +45°
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Noise: Up to 5% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Brightness: Between -20% and +20%

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