Dataset Versions

v12

2024-05-13 3:20pm

Generated on May 13, 2024

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 88%
1170Images
Valid Set 8%
112Images
Test Set 4%
55Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 2048x2048
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -20% and +20%
Exposure: Between -5% and +5%
Blur: Up to 1.1px

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