Dataset Versions

v15

2024-05-02 9:57am

Generated on May 2, 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 85%
2277Images
Valid Set 8%
224Images
Test Set 7%
175Images

Preprocessing

Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±22° Horizontal, ±22° Vertical
Hue: Between -91° and +91°
Saturation: Between -50% and +50%
Mosaic: Applied

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