Content-based-image-retrieval

I. Idea

1. Available data

• Using CNN to make features extraction from our images data, we retrieve the images data as vectors

2. Query data

• Turning the query image into vectors with the same way as our available data

3. Calculating the distance between the query data with our available data

4. Show K number of data that nearliest match the query data

II. Pipeline