Dataset Versions
v1
2023-11-18 4:13pm
Generated on Nov 18, 2023
274 Total Images
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Dataset Split
Train Set 88%
240Images
Valid Set 8%
23Images
Test Set 4%
11Images
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, 34% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -42% and +42%
Exposure: Between -25% and +25%
Blur: Up to 3.25px
Noise: Up to 11% of pixels
Cutout: 3 boxes with 10% size each