Dataset Versions
v2
2024-07-30 5:11pm
Generated on Jul 30, 2024
152 Total Images
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Dataset Split
Train Set 87%
132Images
Valid Set 9%
13Images
Test Set 5%
7Images
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 -26° and +26°
Shear: ±27° Horizontal, ±15° Vertical
Brightness: Between -32% and +32%
Exposure: Between -21% and +21%
Blur: Up to 3px
Noise: Up to 2.49% of pixels
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Noise: Up to 0.61% of pixels