Dataset Versions

v1

1175 -3 images

Generated on Oct 13, 2023

Dataset Split

Train Set 88%
1029Images
Valid Set 8%
98Images
Test Set 4%
48Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 240x240
Auto-Adjust Contrast: Using Histogram Equalization
Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Saturation: Between -17% and +17%
Exposure: Between -4% and +4%

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