toiletDetection Dataset

v1

2023-10-01 4:26pm

Generated on Oct 1, 2023

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Dataset Split

Train Set 95%
7878Images
Valid Set 5%
450Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 480x480

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -30° and +30°
Saturation: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Mosaic: Applied

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