Dataset Versions
Versions
v1
2024-09-04 10:45am
Generated on Sep 4, 2024
303 Total Images
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Dataset Split
Train Set 98%
297Images
Valid Set 2%
5Images
Test Set 0%
1Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 6% Maximum Zoom
Rotation: Between -6° and +6°
Shear: ±5° Horizontal, ±5° 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 2.5px
Noise: Up to 0.54% of pixels