Dataset Versions
v4
2024-03-22 4:19pm
Generated on Mar 22, 2024
37 Total Images
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Dataset Split
Train Set 89%
33Images
Valid Set 8%
3Images
Test Set 3%
1Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 29-75% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied
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°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Brightness: Between -24% and +24%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Bounding Box: Flip: Horizontal