Dataset Versions

v6

2023-05-17 3:23pm

Generated on May 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 89%
9195Images
Valid Set 7%
756Images
Test Set 4%
391Images

Preprocessing

Auto-Adjust Contrast: Using Histogram Equalization
Modify Classes: 0 remapped, 10 dropped

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 5px
Noise: Up to 5% of pixels
Mosaic: Applied
Bounding Box: Rotation: Between -7° and +7°
Bounding Box: Shear: ±5° Horizontal, ±5° Vertical

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