Dataset Versions
v7
2023-09-11 9:41pm
Generated on Sep 11, 2023
950 Total Images
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Dataset Split
Train Set 87%
831Images
Valid Set 8%
79Images
Test Set 4%
40Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Modify Classes: 0 remapped, 3 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -12% and +12%
Exposure: Between -25% and +25%
Blur: Up to 2.5px