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Potato_Disease_Classification

Instance Segmentation

Potato_Disease_Classification Image Dataset

Versions
2024-02-04 11:02am
v3
Feb 4, 2024
2024-02-04 10:57am
v2
Feb 4, 2024
2024-02-03 1:05pm
v1
Feb 3, 2024
v3

2024-02-04 11:02am

Generated on Feb 4, 2024
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960 Total Images

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Dataset Split

Train Set 88%
840Images
Valid Set 8%
80Images
Test Set 4%
40Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -14° and +14°
Shear: ±12° Horizontal, ±12° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -34% and +34%
Brightness: Between -24% and +24%
Exposure: Between -14% and +14%
Blur: Up to 2.5px
Noise: Up to 0.78% of pixels