Dataset Versions
v2
2023-06-30 4:13pm
Generated on Jun 30, 2023
50 Total Images
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Dataset Split
Train Set 90%
45Images
Valid Set 10%
5Images
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 -11° and +11°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -59% and +59%
Brightness: Between -40% and +40%
Exposure: Between -11% and +11%
Noise: Up to 4% of pixels