GlassDefectsCheckingModel2 Dataset

v3

2024-09-30 7:32pm

Generated on Sep 30, 2024

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Dataset Split

Train Set 86%
24Images
Valid Set 14%
4Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Dynamic Crop: Class: Broken_Glass
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels