Search images using text or images
Tag and analyze images for NSFW content and characters
Detect objects in images using YOLO
Identify NSFW content in images
Detect objects in images using uploaded files
Analyze images to identify content tags
Detect objects in your images
Detect deepfakes in videos, images, and audio
Extract and recognize text from images
Detect objects in images
Detect objects in images from URLs or uploads
ComputerVisionProject week5
Detect image manipulations in your photos
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.
• 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.
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.