Dataset Versions

v1

2024-03-09 9:28pm

Generated on Mar 10, 2024

Dataset Split

Train Set 87%
153Images
Valid Set 9%
15Images
Test Set 4%
7Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Hue: Between -5° and +5°
Saturation: Between -5% and +5%
Brightness: Between -5% and +5%

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