Plant_Classification Computer Vision Model
Versions
570 Total Images
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Dataset Split
Train Set 92%
525Images
Valid Set 5%
30Images
Test Set 3%
15Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Augmentations
Outputs per training example: 5
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±5° Horizontal, ±5° Vertical
Brightness: Between -25% and +25%
Blur: Up to 2px
Noise: Up to 2% of pixels
Cutout: 5 boxes with 10% size each