Dataset Versions

v3

2023-03-02 3:26pm

Generated on Mar 2, 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 87%
2484Images
Valid Set 8%
236Images
Test Set 4%
120Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 1200x1200

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -30% and +30%
Brightness: Between -30% and +30%
Exposure: Between -10% and +10%
Noise: Up to 5% of pixels

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