Dataset Versions
v5
2024-06-11 10:35pm
Generated on Jun 12, 2024
288 Total Images
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Dataset Split
Train Set 88%
252Images
Valid Set 8%
24Images
Test Set 4%
12Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 0.5px
Noise: Up to 0.5% of pixels
Cutout: 5 boxes with 3% size each