Dataset Versions
Versions
v1
2024-07-23 5:10am
Generated on Jul 23, 2024
3290 Total Images
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Dataset Split
Train Set 98%
3231Images
Valid Set 1%
39Images
Test Set 1%
20Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 32% Maximum Zoom
Rotation: Between -30° and +30°
Shear: ±20° Horizontal, ±11° Vertical
Grayscale: Apply to 7% of images
Hue: Between -115° and +115°
Saturation: Between -56% and +56%
Brightness: Between -27% and +27%
Exposure: Between -12% and +12%
Blur: Up to 3.9px
Noise: Up to 4.9% of pixels
Cutout: 4 boxes with 22% size each