Dataset Versions
v5
2023-01-11 6:16pm
Generated on Jan 11, 2023
1320 Total Images
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Dataset Split
Train Set 88%
1155Images
Valid Set 8%
112Images
Test Set 4%
53Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 23% Maximum Zoom
Rotation: Between -14° and +14°
Grayscale: Apply to 40% of images
Hue: Between -76° and +76°
Brightness: Between -38% and +38%
Blur: Up to 2.25px
Noise: Up to 7% of pixels
Cutout: 10 boxes with 5% size each
Mosaic: Applied
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise