Dataset Versions

v24

2024-03-19 12:03pm

Generated on Mar 19, 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%
12616Images
Valid Set 12%
1795Images
Test Set 6%
902Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 2
Flip: Horizontal
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -15% and +15%
Brightness: Between -20% and +20%
Blur: Up to 1px
Noise: Up to 0.5% of pixels

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