Dataset Versions
v2
2024-06-12 9:52am
Generated on Jun 12, 2024
466 Total Images
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Dataset Split
Train Set 88%
408Images
Valid Set 8%
39Images
Test Set 4%
19Images
Preprocessing
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 0.85% of pixels