Dataset Versions
v3
2023-05-26 1:25pm
Generated on May 26, 2023
232 Total Images
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Dataset Split
Train Set 83%
192Images
Valid Set 7%
16Images
Test Set 10%
24Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Rotation: Between -12° and +12°
Shear: ±19° Horizontal, ±11° Vertical
Brightness: Between -25% and +25%
Exposure: Between -14% and +14%
Blur: Up to 0.75px
Noise: Up to 1% of pixels
Mosaic: Applied