Dataset Versions
v1
2023-07-23 9:05pm
Generated on Jul 24, 2023
5321 Total Images
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Dataset Split
Train Set 93%
4950Images
Valid Set 3%
168Images
Test Set 4%
203Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 1024x1024
Modify Classes: 34 remapped, 2 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -40% and +40%
Brightness: Between -30% and +30%
Blur: Up to 4.25px
Noise: Up to 10% of pixels
Cutout: 3 boxes with 10% size each