Dataset Versions
v4
2023-06-01 10:59am
Generated on Jun 1, 2023
918 Total Images
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Dataset Split
Train Set 90%
825Images
Valid Set 9%
86Images
Test Set 1%
7Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 18% Maximum Zoom
Rotation: Between -45° and +45°
Brightness: Between -24% and +24%
Exposure: Between -25% and +25%