Dataset Versions
v3
2024-03-22 12:37pm
Generated on Mar 22, 2024
400 Total Images
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Dataset Split
Train Set 83%
330Images
Valid Set 18%
70Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -13° and +13°
Shear: ±13° Horizontal, ±13° Vertical
Saturation: Between -18% and +18%
Brightness: Between -19% and +19%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 10% of pixels