Dataset Versions
v2
2024-05-08 8:05am
Generated on May 8, 2024
1090 Total Images
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Dataset Split
Train Set 88%
954Images
Valid Set 8%
91Images
Test Set 4%
45Images
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 -70% and +70%
Exposure: Between -34% and +34%
Blur: Up to 3.1px
Noise: Up to 7.86% of pixels