Dataset Versions
v2
2022-10-24 11:11am
Generated on Oct 24, 2022
303 Total Images
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Dataset Split
Train Set 100%
303Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -34° and +34°
Blur: Up to 1.5px
Noise: Up to 12% of pixels
Cutout: 3 boxes with 12% size each