Dataset Versions
v2
2024-08-19 8:33am
Generated on Aug 19, 2024
30 Total Images
View All Images
Dataset Split
Train Set 100%
30Images
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 -5% and +5%
Brightness: Between 0% and +5%
Exposure: Between -5% and +5%
Blur: Up to 0.1px
Noise: Up to 0.1% of pixels