Dataset Versions
Versions
v1
2024-01-22 9:47am
Generated on Jan 22, 2024
665 Total Images
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Dataset Split
Train Set 88%
582Images
Valid Set 8%
55Images
Test Set 4%
28Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%