Dataset Versions
Versions
v1
2024-04-16 3:26pm
Generated on Apr 16, 2024
445 Total Images
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Dataset Split
Train Set 88%
390Images
Valid Set 8%
37Images
Test Set 4%
18Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x360
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Cutout: 3 boxes with 10% size each