TamNLN

Face and person detection

Object Detection

Face and person detection Image Dataset

v4

2023-02-01 9:03am

Generated on Feb 1, 2023

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Dataset Split

Train Set 94%
255Images
Valid Set 6%
15Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Noise: Up to 5% of pixels
Mosaic: Applied