Dataset Versions

v4

clahe_escamosa_single_68

Generated on Mar 8, 2024

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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
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Dataset Split

Train Set 86%
2067Images
Valid Set 3%
77Images
Test Set 11%
257Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1024x1024
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Noise: Up to 0.1% of pixels

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