Dataset Versions
v4
2024-04-09 1:29pm
Generated on Apr 9, 2024
1683 Total Images
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Dataset Split
Train Set 88%
1473Images
Valid Set 8%
139Images
Test Set 4%
71Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Hue: Between -15° and +15°
Blur: Up to 2.5px
Noise: Up to 0.42% of pixels