Dataset Versions
v2
VERSI 2
Generated on May 24, 2023
19964 Total Images
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Dataset Split
Train Set 91%
18204Images
Valid Set 5%
1022Images
Test Set 4%
738Images
Preprocessing
Auto-Orient: Applied
Modify Classes: 3 remapped, 2 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -18% and +18%
Noise: Up to 12% of pixels