Dataset Versions

v13

2022-07-26 10:51pm

Generated on Jul 26, 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 87%
5178Images
Valid Set 8%
494Images
Test Set 4%
254Images

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 -10% and +10%
Noise: Up to 2% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Brightness: Between -20% and +20%
Bounding Box: Blur: Up to 0.25px

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