Dataset Versions
Versions
v1
2023-05-24 5:20pm
Generated on May 24, 2023
11315 Total Images
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Dataset Split
Train Set 88%
9999Images
Valid Set %
0Images
Test Set 12%
1316Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels
Mosaic: Applied
Bounding Box: Flip: Horizontal