Dataset Versions
v2
2023-10-13 2:46pm
Generated on Oct 13, 2023
92 Total Images
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Dataset Split
Train Set 88%
81Images
Valid Set 5%
5Images
Test Set 7%
6Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 1800x1800
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Grayscale: Apply to 26% of images
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Exposure: Between -16% and +16%
Mosaic: Applied