Detect And Classify Single-label Classification Computer Vision Model
408 Total Images
View All Images
Dataset Split
Train Set 88%
357Images
Valid Set 8%
34Images
Test Set 4%
17Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 56% Maximum Zoom
Shear: ±14° Horizontal, ±11° Vertical
Saturation: Between -34% and +34%
Exposure: Between -13% and +13%
Noise: Up to 1.92% of pixels