ML System Design: Image Discovery System

Architecture for Efficient Similar Image Discovery system

Problem Navigation

Requirements

Business Objective: To design a image discovery system that recomends contextually similar images for the given image.

Real-world Examples:

1. Social Media and Content Platforms:
These platforms allow users to explore and discover images based on visual and contextual similarities, enhancing user engagement by recommending related content.

• Product: Pinterest Visual Search

2. E-commerce Platforms:
E-commerce websites use image discovery systems to help users find visually similar products (e.g., similar styles or colors) to what they are viewing or uploading.

• Product: Amazon StyleSnap

3. Real Estate Platforms:
Platforms assist users in discovering properties with similar aesthetics or layouts based on uploaded photos or preferences.

• Product: Zillow’s Visual Search

4. Stock Photography and Media Libraries:
These services help users find images or videos that match the content they are looking for, either by uploading an image or using contextual keywords.

• Product: Shutterstock’s Reverse Image Search

5. Fashion and Retail Apps:
Fashion apps use image-based searches to help users find similar clothing, accessories, or styles based on pictures they upload or browse.

• Product: ASOS Visual Search

6. Home Design and Furniture Platforms:
These platforms allow users to find home décor or furniture that matches the style or color of a given image or inspiration photo.

• Product: Houzz Visual Recognition Tool

7. Travel and Hospitality Platforms:
Image discovery systems are used to match users with destinations or accommodations similar to the images they like or upload for inspiration.

• Product: Airbnb’s Visual Search