Dataset Versions
Versions
v1
2022-10-07 10:02am
Generated on Oct 7, 2022
72 Total Images
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Dataset Split
Train Set 88%
63Images
Valid Set 8%
6Images
Test Set 4%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 4% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -52° and +52°
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1.25px
Noise: Up to 2% of pixels
Cutout: 6 boxes with 10% size each
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical