Dataset Versions
v2
2024-02-06 10:00pm
Generated on Feb 6, 2024
29 Total Images
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Dataset Split
Train Set 93%
27Images
Valid Set 3%
1Images
Test Set 3%
1Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -36° and +36°
Brightness: Between -30% and +30%
Exposure: Between -10% and +10%
Blur: Up to 1.5px
Noise: Up to 5% of pixels