Dataset Versions

v1

2024-11-19 6:41pm

Generated on Nov 20, 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 87%
312Images
Valid Set 6%
23Images
Test Set 6%
23Images

Preprocessing

Auto-Orient: Applied
Static Crop: 5-95% Horizontal Region, 5-95% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±10° Horizontal, ±10° Vertical
Noise: Up to 3.03% of pixels
Cutout: 20 boxes with 5% size each

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