Dataset Versions
v2
2024-09-19 7:54am
Generated on Sep 19, 2024
144 Total Images
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Dataset Split
Train Set 88%
126Images
Valid Set 8%
12Images
Test Set 4%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 1.5px
Noise: Up to 0.34% of pixels