Dataset Versions
v1
2024-08-31 2:57pm
Generated on Aug 31, 2024
2811 Total Images
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Dataset Split
Train Set 93%
2604Images
Valid Set 7%
207Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Shear: ±5° Horizontal, ±8° Vertical
Grayscale: Apply to 5% of images
Brightness: Between -10% and +10%
Exposure: Between -7% and +7%
Blur: Up to 0.5px
Noise: Up to 1.05% of pixels