Dataset Versions
v2
2024-08-08 1:52pm
Generated on Aug 8, 2024
198 Total Images
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Dataset Split
Train Set 88%
174Images
Valid Set 12%
24Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Grayscale: Apply to 25% 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 0.5px
Noise: Up to 0.46% of pixels