Dataset Versions

v5

kat

Generated on Nov 17, 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 92%
22510Images
Valid Set 4%
983Images
Test Set 4%
960Images

Preprocessing

Resize: Stretch to 320x320
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 5
Rotation: Between -5° and +5°
Shear: ±3° Horizontal, ±2° Vertical
Saturation: Between -25% and +25%
Brightness: Between -22% and +22%
Exposure: Between -6% and +6%
Blur: Up to 1.3px
Noise: Up to 0.45% of pixels

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