2016 Training Dataset
Versions
v3
2024-09-20 6:34pm
Generated on Sep 20, 2024
1777 Total Images
View All Images
Dataset Split
Train Set 80%
1416Images
Valid Set 20%
361Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Vertical
90° Rotate: Counter-Clockwise
Grayscale: Apply to 15% of images
Hue: Between -18° and +18°
Saturation: Between -24% and +24%
Brightness: Between -22% and +22%
Blur: Up to 2.5px
Noise: Up to 1% of pixels