Dataset Versions

v8

2023-07-27 6:52pm

Generated on Jul 27, 2023

Dataset Split

Train Set 96%
6903Images
Valid Set %
0Images
Test Set 4%
300Images

Preprocessing

Resize: Fit within 640x640
Modify Classes: 2 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -45° and +45°
Grayscale: Apply to 15% of images
Hue: Between -30° and +30°
Saturation: Between -40% and +40%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 1% of pixels
Cutout: 5 boxes with 5% size each
Mosaic: Applied

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