Multimodal Image Search Engine

What is Multimodal Image Search Engine ?

The Multimodal Image Search Engine is an advanced tool designed to search for images using both text descriptions and image inputs. It leverages cutting-edge AI technology to understand and match visual content with textual queries, enabling a more flexible and intuitive search experience. This engine is particularly useful for detecting harmful or offensive content in images, ensuring a safer and more responsible search environment.

Features

• Text-Based Search: Users can input keywords or phrases to find relevant images. • Image-Based Search: Upload an image to find similar or related visuals. • AI-Enhanced Matching: Utilizes machine learning algorithms to improve search accuracy. • Content Filtering: Automatically detects and filters harmful or offensive content. • Cross-Modal Search: Combines text and image inputs for more precise results.

How to use Multimodal Image Search Engine ?

1. Provide Input: Enter a text query or upload an image to start your search.
2. Submit Query: Click the search button to initiate the process.
3. AI Processing: The engine analyzes your input and retrieves relevant images.
4. Review Results: Browse through the search results and refine your query if needed.

Frequently Asked Questions

What types of input does the engine support?
The engine supports both text-based queries and image uploads, allowing for versatile search options.

How accurate is the search results filtering?
The AI-powered filtering system is highly accurate in detecting harmful or offensive content, but it may not catch every instance. Continuous improvement ensures better results over time.

Can I use both text and image inputs together?
Yes, the engine supports cross-modal search, where you can combine text and image inputs for more precise and relevant results.