JacketFeaturePoints Computer Vision Model
192 Total Images
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Dataset Split
Train Set 88%
168Images
Valid Set 8%
16Images
Test Set 4%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%