Dataset Versions
Versions
v1
2022-10-07 11:27am
Generated on Oct 7, 2022
59 Total Images
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Dataset Split
Train Set 86%
51Images
Valid Set 8%
5Images
Test Set 5%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 38% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -74° and +74°
Saturation: Between -35% and +35%
Exposure: Between -31% and +31%
Noise: Up to 5% of pixels