Dataset Versions
Versions
v1
2023-04-23 1:02pm
Generated on Apr 23, 2023
6688 Total Images
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Dataset Split
Train Set 96%
6399Images
Valid Set 3%
193Images
Test Set 1%
96Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -16° and +16°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Blur: Up to 1.25px
Noise: Up to 11% of pixels