Dataset Versions

v4

2024-02-22 3:21pm

Generated on Feb 22, 2024

Dataset Split

Train Set 88%
30Images
Valid Set 9%
3Images
Test Set 3%
1Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels

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