Process webcam feed to detect edges
Detect objects in images and highlight them
Upload an image, detect objects, hear descriptions
Segment objects in images and videos using text prompts
Compare uploaded image with Genshin Impact dataset
Enhance and upscale images with face restoration
Enhance and restore images using SwinIR
Find similar images using tags and images
Visualize attention maps for images using selected models
Recognize micro-expressions in images
Analyze layout and detect elements in documents
https://huggingface.co/spaces/VIDraft/mouse-webgen
Generate flow or disparity from two images
Edge Detection is an image processing technique used to identify and locate edges within images or video streams. These edges represent significant changes in the image's brightness, which often correspond to the boundaries of objects. The process is fundamental in computer vision and is widely applied in applications like photo editing, object detection, and surveillance systems. Edge detection helps in simplifying images by reducing them to their most basic components, making it easier to analyze and interpret visual data.
• Real-Time Processing: Processes live webcam feeds to detect edges instantly.
• Adjustable Sensitivity: Allows users to customize edge detection sensitivity for better results.
• Visual Output: Displays a black-and-white image highlighting detected edges.
• Cross-Device Compatibility: Works seamlessly on various devices and browsers.
What is edge detection used for?
Edge detection is used to identify object boundaries in images or videos, aiding in image segmentation, object recognition, and enhancement.
Can I adjust the edge detection sensitivity?
Yes, most edge detection tools allow adjusting sensitivity to improve edge detection accuracy based on the image or video quality.
Why is the output in black and white?
The output is in black and white to clearly emphasize detected edges, making it easier to distinguish object boundaries.