wall detect Dataset

v3

2024-09-22 5:19pm

Generated on Sep 22, 2024

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Dataset Split

Train Set 80%
96Images
Valid Set 13%
16Images
Test Set 7%
8Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 15% of images
Brightness: Between -45% and +45%
Blur: Up to 2.5px
Cutout: 8 boxes with 19% size each
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Noise: Up to 0.1% of pixels

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