Dataset Versions
v5
2024-09-04 1:00pm
Generated on Sep 4, 2024
184 Total Images
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Dataset Split
Train Set 88%
162Images
Valid Set 8%
15Images
Test Set 4%
7Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 480x480
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±4° Horizontal, ±4° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels