Dataset Versions
v1
2023-05-10 9:59am
Generated on May 10, 2023
1137 Total Images
View All Images
Dataset Split
Train Set 87%
985Images
Valid Set 9%
104Images
Test Set 4%
48Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Grayscale: Applied
Filter Null: Require at least 80% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -50% and +50%
Brightness: Between -50% and +50%
Noise: Up to 5% of pixels