Dataset Versions
v3
2024-10-31 5:34am
Generated on Oct 31, 2024
1180 Total Images
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Dataset Split
Train Set 87%
1032Images
Valid Set 8%
99Images
Test Set 4%
49Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -19° and +19°
Saturation: Between -30% and +30%
Brightness: Between -24% and +24%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.26% of pixels