Dataset Versions
v4
2024-02-29 3:43pm
Generated on Feb 29, 2024
1394 Total Images
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Dataset Split
Train Set 88%
1221Images
Valid Set 8%
115Images
Test Set 4%
58Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Noise: Up to 0.42% of pixels