Dataset Versions
v17
2024-06-01 7:11pm
Generated on Jun 1, 2024
7799 Total Images
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Dataset Split
Train Set 88%
6828Images
Valid Set 8%
634Images
Test Set 4%
337Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 10% of images
Saturation: Between -25% and +25%
Brightness: Between 0% and +15%
Exposure: Between -12% and +12%
Blur: Up to 2.4px
Noise: Up to 0.46% of pixels