Dataset Versions

v17

2024-07-15 7:02am

Generated on Jul 15, 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 94%
2457Images
Valid Set 4%
100Images
Test Set 2%
49Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 7
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -8% and +8%
Blur: Up to 1px
Noise: Up to 0.85% of pixels

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