Dataset Versions
v5
test-5
Generated on Oct 16, 2024
1023 Total Images
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Dataset Split
Train Set 84%
864Images
Valid Set 8%
83Images
Test Set 7%
76Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Fit (black edges) in 1280x720
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom