Dataset Versions
v4
2023-01-13 1:18pm
Generated on Jan 13, 2023
277 Total Images
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Dataset Split
Train Set 95%
264Images
Valid Set 5%
13Images
Test Set %
0Images
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