Capstone Project - Grass Species Computer Vision Model
7268 Total Images
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Dataset Split
Train Set 88%
6360Images
Valid Set 8%
605Images
Test Set 4%
303Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%