CinnamonCareApp Computer Vision Model
6454 Total Images
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Dataset Split
Train Set 94%
6075Images
Valid Set 4%
225Images
Test Set 2%
154Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels