Yolo11n.pt live object detection :(Cars,Humans,etc)
Detect and track parcels in videos
Process videos to detect and track objects
Product Prototype 1
Analyze images and videos to identify objects
Identify objects in images and videos
Track objects in uploaded videos
Detect objects in a video and image using YOLOv5.
Photo and video detector with csv annotation saving
Identify and label objects in images or videos
computer-vision-problems
Automated Insect Detection
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.