Dataset Versions
v4
2023-07-04 10:12am
Generated on Jul 4, 2023
1341 Total Images
View All ImagesDataset Split
Train Set 87%
1161Images
Valid Set 7%
99Images
Test Set 6%
81Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Tile: 3 rows x 3 columns
Filter Null: Require at least 50% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Brightness: Between -25% and +25%
Blur: Up to 1.5px