Dataset Versions

v1

2024-06-27 1:28am

Generated on Jun 27, 2024

Dataset Split

Train Set 88%
483Images
Valid Set 8%
46Images
Test Set 4%
23Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Grayscale: Apply to 21% of images
Hue: Between -24° and +24°
Saturation: Between -25% and +25%
Brightness: Between -21% and +21%
Blur: Up to 2.2px

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