Dataset Versions
v2
2023-09-21 2:41pm
Generated on Sep 21, 2023
43950 Total Images
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Dataset Split
Train Set 82%
35925Images
Valid Set 12%
5150Images
Test Set 7%
2875Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 244x244
Auto-Adjust Contrast: Using Histogram Equalization
Tile: 5 rows x 5 columns
Modify Classes: 0 remapped, 1 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -23° and +23°
Shear: ±22° Horizontal, ±23° Vertical
Hue: Between -58° and +58°
Saturation: Between -72% and +72%
Brightness: Between -14% and +14%
Exposure: Between -18% and +18%