Dataset Versions
Versions
v1
2024-09-10 3:52am
Generated on Sep 10, 2024
2190 Total Images
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Dataset Split
Train Set 88%
1920Images
Valid Set 8%
183Images
Test Set 4%
87Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 48% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Grayscale: Apply to 36% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -22% and +22%
Exposure: Between -16% and +16%
Blur: Up to 1.4px
Noise: Up to 0.73% of pixels
Cutout: 10 boxes with 18% size each