Dataset Versions
Versions
v1
2023-07-01 11:26am
Generated on Jul 1, 2023
900 Total Images
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Dataset Split
Train Set 100%
900Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 512x512
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 23% Minimum Zoom, 40% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -18% and +18%
Blur: Up to 1.25px
Noise: Up to 3% of pixels