Dataset Versions
Versions
v1
2024-10-11 8:39am
Generated on Oct 11, 2024
7045 Total Images
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Dataset Split
Train Set 82%
5763Images
Valid Set 5%
322Images
Test Set 14%
960Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Modify Classes: 0 remapped, 3 dropped
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
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels