Dataset Versions

v3

2024-12-09 1:48am

Generated on Dec 8, 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 82%
11638Images
Valid Set 12%
1662Images
Test Set 6%
831Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -20% and +20%
Blur: Up to 1.7px
Noise: Up to 1% of pixels

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