Dataset Versions
v2
2023-01-13 12:36pm
Generated on Jan 13, 2023
92 Total Images
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Dataset Split
Train Set 82%
75Images
Valid Set 10%
9Images
Test Set 9%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -9° and +9°
Shear: ±34° Horizontal, ±23° Vertical
Saturation: Between -62% and +62%
Brightness: Between -61% and +61%
Exposure: Between -43% and +43%
Blur: Up to 5px
Noise: Up to 8% of pixels
Cutout: 10 boxes with 20% size each