Crack-Gate3 Dataset

v3

2024-01-31 1:03pm

Generated on Jan 31, 2024

Dataset Split

Train Set 87%
1062Images
Valid Set 8%
103Images
Test Set 4%
52Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Saturation: Between -20% and +20%
Brightness: Between -16% and +16%

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