Dataset Versions
v5
2024-05-20 8:09am
Generated on May 20, 2024
924 Total Images
View All ImagesDataset Split
Train Set 87%
804Images
Valid Set 11%
101Images
Test Set 2%
19Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require at least 90% of images to contain annotations.
Augmentations
Outputs per training example: 3
Shear: ±3° Horizontal, ±3° Vertical
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 0.3% of pixels