Dataset Versions
v4
2023-09-06 9:12am
Generated on Sep 6, 2023
515 Total Images
View All Images
Dataset Split
Train Set 87%
450Images
Valid Set 9%
44Images
Test Set 4%
21Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Modify Classes: 5 remapped, 3 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°