Dataset Versions
v1
2024-05-08 3:25pm
Generated on May 8, 2024
62 Total Images
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Dataset Split
Train Set 97%
60Images
Valid Set %
0Images
Test Set 3%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 28% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±12° Horizontal, ±11° Vertical
Grayscale: Apply to 15% of images
Hue: Between -22° and +22°
Saturation: Between -33% and +33%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 2.6px
Noise: Up to 1.25% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied