Dataset Versions
v3
2024-10-31 2:32am
Generated on Oct 31, 2024
935 Total Images
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Dataset Split
Train Set 98%
915Images
Valid Set 2%
17Images
Test Set 0%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -20° and +20°
Saturation: Between -39% and +39%
Exposure: Between -15% and +15%
Blur: Up to 1.2px
Noise: Up to 5.13% of pixels
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -11° and +11°
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 0.1% of pixels