Identify and classify objects in images
Convert floor plan images to vector data and JSON metadata
Process webcam feed to detect edges
Generate clickable coordinates on a screenshot
Analyze images to generate captions, detect objects, or perform OCR
Identify objects in images using ResNet
Visualize attention maps for images using selected models
Restore blurred or small images with prompt
Search for medical images using natural language queries
Enhance and upscale images with face restoration
Tag images with labels
Display interactive UI theme preview with Gradio
Multimodal Language Model
ML_ui_Mobilenet is a user-friendly interface tool designed for image classification and object detection tasks. Built on top of the popular Mobilenet model, it provides an intuitive way to identify and classify objects within images. The tool is optimized for mobile and web applications, offering a lightweight yet powerful solution for real-time image processing.
What is ML_ui_Mobilenet primarily used for?
ML_ui_Mobilenet is primarily used for image classification and object detection tasks, leveraging the Mobilenet model for accurate and efficient results.
Is ML_ui_Mobilenet compatible with TensorFlow.js?
Yes, ML_ui_Mobilenet is built using TensorFlow.js, ensuring seamless integration and high performance for image processing tasks.
Can I use ML_ui_Mobilenet on both mobile and web platforms?
Absolutely! ML_ui_Mobilenet is designed to be cross-platform, supporting both mobile devices and web browsers.
How do I customize the UI of ML_ui_Mobilenet?
You can customize the UI by modifying the CSS styles and layout to match your application's design requirements.