Dataset Versions

v5

2024-09-26 9:47pm

Generated on Sep 26, 2024

Dataset Split

Train Set 88%
369Images
Valid Set 10%
40Images
Test Set 3%
12Images

Preprocessing

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

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Blur: Up to 0.5px
Noise: Up to 0.1% of pixels

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