Dataset Versions
v1
2023-10-30 2:59pm
Generated on Oct 30, 2023
109 Total Images
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Dataset Split
Train Set 88%
96Images
Valid Set 8%
9Images
Test Set 4%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 29% Maximum Zoom
Rotation: Between -45° and +45°
Grayscale: Apply to 10% of images
Brightness: Between -32% and +32%
Noise: Up to 5% of pixels
Cutout: 3 boxes with 17% size each