Dataset Versions
Versions
v1
2022-06-06 12:50pm
Generated on Jun 6, 2022
341 Total Images
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Dataset Split
Train Set 87%
297Images
Valid Set 9%
29Images
Test Set 4%
15Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%