Dataset Versions
Versions
v1
2023-09-06 8:26pm
Generated on
Sep 6, 2023
244 Total Images
View All Images
Dataset Split
Train
Set
87%
213Images
Valid
Set
9%
21Images
Test
Set
4%
10Images
Preprocessing
Auto-Orient:
Applied
Resize:
Stretch to 640x640
Augmentations
Outputs per training example:
3
Flip:
Horizontal, Vertical
90° Rotate:
Clockwise, Counter-Clockwise
Crop:
0% Minimum Zoom, 20% Maximum Zoom
Rotation:
Between -15° and +15°
Shear:
±15° Horizontal, ±15° Vertical
Grayscale:
Apply to 25% of images
Cutout:
3 boxes with 10% size each
