Dataset Versions
v1
2024-06-04 7:56pm
Generated on Jun 4, 2024
1293 Total Images
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Dataset Split
Train Set 87%
1131Images
Valid Set 8%
109Images
Test Set 4%
53Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -9° and +9°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2px
Noise: Up to 0.18% of pixels