Dataset Versions
v2
2022-07-11 5:25pm
Generated on Jul 11, 2022
30 Total Images
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Dataset Split
Train Set 50%
15Images
Valid Set 23%
7Images
Test Set 27%
8Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Exposure: Between -25% and +25%