Final Year Group Project : Image
Animate your SVG file and download it
Identify tree species from images
Generate clickable coordinates on a screenshot
Detect and compare dominant colors in images
Recognize micro-expressions in images
Swap Single Face
Detect if a person in a picture is a Host from Westworld
Swap faces in images
Visualize attention maps for images using selected models
Generate 3D depth maps from images and videos
Restore blurred or small images with prompt
https://huggingface.co/spaces/VIDraft/mouse-webgen
Team18 Image Project is an AI-powered tool developed as a final year group project to detect driving distractions in images. It leverages artificial intelligence to analyze images and identify potential distractions that could impact driving safety. This innovative solution is designed to contribute to road safety by providing insights into hazardous situations captured in images.
• AI-Powered Detection: Utilizes advanced AI algorithms to identify driving distractions in images.
• Focus on Driving Distractions: Specifically designed to detect objects or situations that could distract drivers.
• Image Analysis: Capable of analyzing images to pinpoint potential hazards or distracting elements.
• User-Friendly Interface: Easy-to-use interface for uploading images and viewing results.
• Real-Time Results: Provides quick analysis and feedback on the uploaded images.
• Customizable Settings: Allows users to adjust certain parameters for better accuracy in detection.
What type of distractions can Team18 Image Project detect?
Team18 Image Project is designed to detect common driving distractions such as texting, eating, or other objects that might take a driver's attention away from the road.
Is the app free to use?
Currently, Team18 Image Project is available for use as part of the final year group project, but licensing details for broader use are not specified.
Can I use this tool for non-driving images?
Yes, you can upload any image to analyze, but the primary focus of the tool is on detecting driving-related distractions.