Dataset Versions
v4
mach2
Generated on
Feb 13, 2022
3150 Total Images
View All Images
Dataset Split
Train
Set
92%
2910Images
Valid
Set
4%
120Images
Test
Set
4%
120Images
Preprocessing
Auto-Orient:
Applied
Resize:
Stretch to 416x416
Grayscale:
Applied
Auto-Adjust Contrast:
Using Adaptive Equalization
Modify Classes:
0 remapped, 0 dropped
Augmentations
Outputs per training example:
3
Flip:
Horizontal
90° Rotate:
Clockwise, Counter-Clockwise
Crop:
0% Minimum Zoom, 20% Maximum Zoom
Rotation:
Between -15° and +15°
Shear:
±15° Horizontal, ±15° Vertical
Hue:
Between -25° and +25°
Saturation:
Between -25% and +25%
Brightness:
Between -25% and +25%
Blur:
Up to 10px
Noise:
Up to 5% of pixels
Cutout:
3 boxes with 10% size each
