Dataset Versions
Versions
v1
2024-04-30 12:20pm
Generated on Apr 30, 2024
1014 Total Images
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Dataset Split
Train Set 88%
897Images
Valid Set 8%
83Images
Test Set 3%
34Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±13° Horizontal, ±10° Vertical
Grayscale: Apply to 8% of images
Hue: Between -24° and +24°
Saturation: Between -29% and +29%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 1.1px
Noise: Up to 1.45% of pixels