Dataset Versions
v2
2023-01-23 1:05pm
Generated on Jan 23, 2023
8125 Total Images
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Dataset Split
Train Set 95%
7692Images
Valid Set 5%
433Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 17% Maximum Zoom
Shear: ±13° Horizontal, ±7° Vertical
Saturation: Between -58% and +58%
Brightness: Between -31% and +31%
Exposure: Between -11% and +11%
Blur: Up to 1.75px
Noise: Up to 11% of pixels