Dataset Versions

v14

2024-12-22 8:12pm

Generated on Dec 22, 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 52%
579Images
Valid Set 37%
413Images
Test Set 11%
122Images

Preprocessing

Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise
Rotation: Between -20° and +20°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -20% and +20%
Blur: Up to 0.5px
Noise: Up to 0.18% of pixels

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