Dataset Versions
Versions
v1
2024-09-11 9:56am
Generated on Sep 11, 2024
19800 Total Images
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Dataset Split
Train Set 88%
17325Images
Valid Set 8%
1650Images
Test Set 4%
825Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±14° Vertical
Grayscale: Apply to 15% of images
Hue: Between -25° and +25°
Saturation: Between -33% and +33%
Brightness: Between -24% and +24%
Exposure: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 1.53% of pixels