Dataset Versions
Versions
v2
2023-01-23 12:18pm
Generated on Jan 23, 2023
23867 Total Images
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Dataset Split
Train Set 87%
20862Images
Valid Set 8%
2001Images
Test Set 4%
1004Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 60% Maximum Zoom
Rotation: Between -16° and +16°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -29% and +29%
Exposure: Between -25% and +25%
Blur: Up to 1.75px
Noise: Up to 7% of pixels