Dataset Versions
v1
2024-04-25 5:18am
Generated on Apr 25, 2024
10654 Total Images
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Dataset Split
Train Set 87%
9321Images
Valid Set 6%
666Images
Test Set 6%
667Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 480x270
Auto-Adjust Contrast: Using Contrast Stretching
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
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels