How to make the image classification ML model using Xcode 11 “Create ML”
1. Various Machine Learning
Identification and Estimation
- Sales and stock forecasts, image classification, product recommendation, taxi dispatch
Supervised learning and unsupervised learning
Reinforcement learning
- Alpha Go
Natural language processing
2. The typical procedure for using machine learning
3. How to make image classification ML model using Xcode 13 “Create ML”
3–1. Collecting Data and data preparation
step 1. Collecting image data
- For example, downloading images from Web sites or taking pictures by a camera.
step 2. Create Training data folder and Testing data folder
step 3. Create labeling folders depending on the classification name
step 4. Move the collected image data to their respective folders
- 3 ~ 5 images are needed for testing
3–2. “Create ML”
step1. Running up “Create ML” app on your Mac OS
step2. Chose directory to save project
step3. Choose “Image Classifier”
step4. Add project name, then next button
step5. Add project name, then next button
Create ML tools explanation
step6. Import Testing Data folder and Training Data folder, then select “Start” button
step7. Finally ML model is got in “Output” menu
step8. If you want to test for another image data, we can import additional test data
