Dataset Versions
v2
test-2
Generated on Oct 12, 2024
3095 Total Images
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Dataset Split
Train Set 84%
2604Images
Valid Set 10%
323Images
Test Set 5%
168Images
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: 4 rows x 4 columns
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical