Dataset Versions
v10
2023-09-27 5:39pm
Generated on Sep 27, 2023
1301 Total Images
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Dataset Split
Train Set 92%
1203Images
Valid Set 4%
49Images
Test Set 4%
49Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 40% Maximum Zoom
Rotation: Between -34° and +34°
Shear: ±3° Horizontal, ±27° Vertical
Grayscale: Apply to 14% of images
Brightness: Between -44% and +44%
Exposure: Between -12% and +12%
Blur: Up to 1.5px
Noise: Up to 12% of pixels
Cutout: 20 boxes with 10% size each