s Dataset
Versions
v1
twice_v1
Generated on Jul 26, 2022
1056 Total Images
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Dataset Split
Train Set 88%
924Images
Valid Set 8%
88Images
Test Set 4%
44Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
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
Brightness: Between -25% and +25%
Cutout: 5 boxes with 10% size each