墙体识别改进2 Computer Vision Model
2728 Total Images
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Dataset Split
Train Set 92%
2511Images
Valid Set 4%
109Images
Test Set 4%
108Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Brightness: Between -20% and +20%
Blur: Up to 3px