Yolo11n.pt live object detection :(Cars,Humans,etc)
Detect objects and track body movements in real-time
Process video to detect specified objects
Photo and video detector with csv annotation saving
Detect objects in images or videos
computer-vision-problems
Detect objects in images or videos
Track moving objects in videos or webcam feed
Segment objects in videos with point clicks
Identify objects in images and videos
Identify and label objects in images or videos
YOLOv11 Model for Aerial Object Detection
YOLOv11n & DeepSeek 1.5B LLM—Running Locally
Yolo11 Varun is an object detection model based on the YOLOv11n.pt architecture, designed to track and identify objects in real-time within videos and images. It specializes in detecting specific objects such as cars and humans, making it a versatile tool for applications requiring accurate and efficient object recognition.
• Real-time object detection for videos and images
• High-speed detection with minimal latency
• Support for multiple object classes (e.g., cars, humans)
• Accurate tracking of moving objects in video streams
• Compatibility with popular frameworks for seamless integration
What objects can Yolo11 Varun detect?
Yolo11 Varun is primarily designed to detect cars and humans, but it can be fine-tuned to recognize other object classes depending on the specific use case.
Is Yolo11 Varun suitable for real-time video analysis?
Yes, Yolo11 Varun is optimized for real-time object detection and can process video frames with minimal latency, making it ideal for live applications.
Where can I find support or report issues?
For support or to report issues, refer to the official documentation or community forums associated with the YOLOv11n.pt model.