unet

foot

Object Detection

foot Image Dataset

v2

2022-05-06 11:25pm

Generated on May 6, 2022

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Dataset Split

Train Set 75%
6Images
Valid Set %
0Images
Test Set 25%
2Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Grayscale: Apply to 50% of images
Hue: Between -180° and +180°
Brightness: Between -54% and +54%
Blur: Up to 1px
Noise: Up to 8% of pixels
Cutout: 16 boxes with 6% size each