Detect objects in images and highlight them
Answer queries and manipulate images using text input
Upload an image, detect objects, hear descriptions
Restore blurred or small images with prompt
Multimodal Language Model
Generate depth maps from images
Extract text from images
Convert images of screens to structured elements
Simulate wearing clothes on images
Colorize grayscale images
Visualize attention maps for images using selected models
FitDiT is a high-fidelity virtual try-on model.
Tag images to find ratings, characters, and tags
Corn_demo is an image analysis tool designed to detect objects within images and highlight them. It leverages advanced AI technology to provide accurate and efficient object detection, making it a valuable tool for various applications such as image processing, computer vision, and data analysis.
• Object Detection: Corn_demo can identify and locate objects within an image with high precision.
• Highlighting: The tool highlights detected objects, making it easier to visualize and understand the results.
• User-Friendly Interface: Corn_demo is designed with a simple and intuitive interface to ensure ease of use for all users.
• Real-Time Processing: The tool processes images in real-time, providing quick and instantaneous results.
What file formats does Corn_demo support?
Corn_demo supports common image formats such as JPG, PNG, and BMP.
How accurate is Corn_demo in detecting objects?
The accuracy of Corn_demo depends on the quality of the input image and the complexity of the objects. It is designed to provide highly accurate results in most cases.
Can I use Corn_demo for real-time video analysis?
No, Corn_demo is currently optimized for static image analysis. Real-time video analysis is not supported in the current version.