Dataset Versions
v2
2023-05-16 12:31pm
Generated on May 16, 2023
21484 Total Images
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Dataset Split
Train Set 88%
18801Images
Valid Set 4%
887Images
Test Set 8%
1796Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 320x320
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Noise: Up to 3% of pixels
Cutout: 5 boxes with 10% size each