Annotation-ass3 Computer Vision Model
143 Total Images
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Dataset Split
Train Set 82%
118Images
Valid Set 12%
17Images
Test Set 6%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 2
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%