Dataset Versions
Versions
v1
2023-09-14 12:12am
Generated on Sep 13, 2023
1560 Total Images
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Dataset Split
Train Set 92%
1440Images
Valid Set 4%
60Images
Test Set 4%
60Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -28° and +28°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 7px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 20% size each
Mosaic: Applied