Dataset Versions
v8
2023-12-03 9:02pm
Generated on Dec 3, 2023
864 Total Images
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Dataset Split
Train Set 88%
756Images
Valid Set 8%
72Images
Test Set 4%
36Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Filter Null: Require at least 40% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -30° and +30°
Shear: ±10° Horizontal, ±10° Vertical
Exposure: Between -25% and +25%
Blur: Up to 2.75px