Dataset Versions
Versions
v2
2024-06-26 10:31am
Generated on Jun 26, 2024
384 Total Images
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Dataset Split
Train Set 88%
336Images
Valid Set 8%
32Images
Test Set 4%
16Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 10% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -5% and +5%
Blur: Up to 1px
Mosaic: Applied