Dataset Versions
v2
2024-08-01 2:45am
Generated on Aug 1, 2024
216 Total Images
View All ImagesDataset Split
Train Set 100%
216Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 1024x1024
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Saturation: Between -25% and +25%
Brightness: Between 0% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.4px
Noise: Up to 0.1% of pixels