Dataset Versions
v2
2024-10-08 5:29am
Generated on Oct 8, 2024
7716 Total Images
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Dataset Split
Train Set 93%
7161Images
Valid Set 5%
387Images
Test Set 2%
168Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 28% Maximum Zoom
Shear: ±12° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Brightness: Between -21% and +21%
Exposure: Between -11% and +11%
Noise: Up to 0.1% of pixels