Dataset Versions
Versions
v1
2024-09-18 4:08pm
Generated on Sep 18, 2024
330 Total Images
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Dataset Split
Train Set 87%
288Images
Valid Set 9%
29Images
Test Set 4%
13Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 800x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%