Dataset Versions
v5
2025-01-04 3:19pm
Generated on Jan 4, 2025
7767 Total Images
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Dataset Split
Train Set 96%
7448Images
Valid Set 4%
319Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 320x240
Augmentations
Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 26% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.34% of pixels
Bounding Box: Flip: Horizontal