Dataset Versions
Versions
v1
2023-07-05 10:29pm
Generated on Jul 5, 2023
1577 Total Images
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Dataset Split
Train Set 88%
1380Images
Valid Set 8%
132Images
Test Set 4%
65Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require at least 50% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%