Dataset Versions

v5

2023-12-17 12:21pm

Generated on Dec 17, 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 93%
1425Images
Valid Set 3%
52Images
Test Set 3%
48Images

Preprocessing

Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -19° and +19°
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels

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