Maka_1_identify Computer Vision Model
260 Total Images
View All Images
Dataset Split
Train Set 85%
222Images
Valid Set 8%
21Images
Test Set 7%
17Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Filter by Tag: 1 required, 0 dropped
Augmentations
Outputs per training example: 3
Saturation: Between -15% and +15%
Brightness: Between 0% and +40%
Noise: Up to 1% of pixels
Cutout: 9 boxes with 2% size each