Dataset Versions
v3
640p ver1
Generated on Jul 19, 2022
3597 Total Images
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Dataset Split
Train Set 87%
3147Images
Valid Set 8%
300Images
Test Set 4%
150Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Modify Classes: 61 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Bounding Box: Flip: Horizontal
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical