Dataset Versions
v1
2023-12-31 6:07pm
Generated on Dec 31, 2023
1373 Total Images
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Dataset Split
Train Set 88%
1206Images
Valid Set 4%
57Images
Test Set 8%
110Images
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, 8% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -28% and +28%
Brightness: Between -15% and +15%
Exposure: Between -11% and +11%
Blur: Up to 2.5px
Noise: Up to 0.61% of pixels
Cutout: 4 boxes with 10% size each