Universidadde de TrsosMontes e Alto Douro

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Rotten apples detection

Classification

Rotten apples detection Image Dataset

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Versions
2023-02-09 10:19am
v5
Feb 9, 2023
2023-02-08 10:45am
v4
Feb 8, 2023
2023-02-08 10:42am
v3
Feb 8, 2023
2023-02-01 1:16pm
v2
Feb 1, 2023
2023-02-01 1-01pm
v1
Feb 1, 2023
v5

2023-02-09 10:19am

Generated on Feb 9, 2023
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895 Total Images

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Dataset Split

Train Set 89%
795Images
Valid Set 11%
100Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%