Dataset Versions
Versions
v2
2024-10-27 5:14pm
Generated on Oct 27, 2024
65 Total Images
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Dataset Split
Train Set 92%
60Images
Valid Set 5%
3Images
Test Set 3%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
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 -30% and +30%
Brightness: Between -20% and +20%
Blur: Up to 2.5px
Noise: Up to 0.65% of pixels
Cutout: 5 boxes with 10% size each