Dataset Versions
v3
2023-12-04 5:57pm
Generated on Dec 4, 2023
1614 Total Images
View All Images
Dataset Split
Train Set 91%
1464Images
Valid Set 9%
150Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Modify Classes: 1 remapped, 0 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 13% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical