Google Vertex Image Classification Step by Step

Summary notes from Vertex AI Classification task

1. Setting up Experiment Classification - Multiple Labels

2. Upload data and label the dataset. We need to automate, For learning purposes experimented upload option

3. Huges files do take time to upload

4. Once uploaded create labels for them, Now dataset is labelled, label creation, and mapping done here

5. Training model, Setting up configuration options

6. Accuracy vs Latency Tradeoff 

7. Hardware allocation 

8. Dataset Mapping

9. Training Results and Summary

• GCP - All Vision code samples
• Detect multiple objects in a local file
• Using the Vision API with Python

Happy Learning!!!