Dataset Versions

v1

2024-12-02 3:08pm

Generated on Dec 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 94%
10803Images
Valid Set 3%
331Images
Test Set 3%
331Images

Preprocessing

Resize: Fit (white edges) in 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 10% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Noise: Up to 0.5% of pixels

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