Dataset Versions
v1
2024-01-12 11:30pm
Generated on Jan 12, 2024
270 Total Images
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Dataset Split
Train Set 97%
261Images
Valid Set 3%
9Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 33% Maximum Zoom
Rotation: Between -4° and +4°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Hue: Between -18° and +18°
Brightness: Between -22% and +22%
Blur: Up to 5.8px
Noise: Up to 1.84% of pixels
Cutout: 18 boxes with 11% size each