Dataset Versions
v2
2022-08-02 9:51am
Generated on Aug 2, 2022
2019 Total Images
View All Images
Dataset Split
Train Set 100%
2019Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -50° and +50°
Saturation: Between -50% and +50%
Brightness: Between -25% and +25%
Blur: Up to 2px
Noise: Up to 3% of pixels
Cutout: 10 boxes with 5% size each