Dataset Versions
Versions
v1
2024-07-30 2:59pm
Generated on Jul 30, 2024
3366 Total Images
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Dataset Split
Train Set 100%
3366Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 7% Maximum Zoom
Rotation: Between -6° and +6°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.52% of pixels