Test_1 Computer Vision Model
387 Total Images
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Dataset Split
Train Set 81%
314Images
Valid Set 10%
38Images
Test Set 9%
35Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 2
90° Rotate: Clockwise, Counter-Clockwise
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -16% and +16%
Exposure: Between -12% and +12%