Detect objects in images and highlight them
Visual Retrieval with ColPali and Vespa
Generate depth map from an image
Generate depth map from images
Estimate depth from images
https://huggingface.co/spaces/VIDraft/mouse-webgen
Highlight objects in images using text prompts
Decode images to teacher model outputs
Interact with Florence-2 to analyze images and generate descriptions
Convert images of screens to structured elements
Recognize micro-expressions in images
Search for illustrations using descriptions or images
Enhance faces in old or AI-generated photos
Corn_demo is an AI-powered image processing tool designed to detect objects within images and highlight them for enhanced visualization and analysis. It leverages advanced computer vision technology to identify and emphasize specific elements in an image, making it easier to understand or present the content.
• Object Detection: Accurately identifies objects within images.
• Highlighting: Emphasizes detected objects for clear visualization.
• Image Support: Compatible with multiple image formats (e.g., JPEG, PNG, BMP).
• User-Friendly Interface: Simple and intuitive for seamless interaction.
• Customization: Allows users to adjust highlight settings as needed.
1. What file formats does Corn_demo support?
Corn_demo supports common image formats such as JPEG, PNG, and BMP.
2. Can I adjust the highlighting settings?
Yes, users can customize the appearance of highlighted objects to suit their needs.
3. How long does object detection take?
Processing time varies depending on image size and complexity, but it typically takes a few seconds.