Next Gen Yolo
Generate annotated video with object detection
Detect objects in live video from your webcam
Process video to detect and highlight objects
Generate a video with stick figures tracking human poses
Track objects in uploaded videos
Track and count objects in videos
Process video to detect specified objects
Detect objects in images or videos
Detect objects and track body movements in real-time
Detect objects in real-time video streams
Powerful foundation model for zero-shot object tracking
Track people in a video and capture faces
YoloNextGen is the next generation of the popular YOLO (You Only Look Once) object detection system. It is specifically designed for real-time object detection in images and videos, offering enhanced accuracy and speed compared to its predecessors. Built on cutting-edge AI technology, YoloNextGen is optimized for versatile applications, making it a powerful tool for developers and researchers alike.
β’ Universal Object Detection: Detects a wide range of objects in images and videos with high precision.
β’ Real-Time Processing: Enables fast and efficient object detection, ideal for live video streams and applications requiring quick responses.
β’ Video Support: Seamlessly processes video feeds, tracking objects frame-by-frame for continuous detection.
β’ High Accuracy: Leverages advanced AI models to deliver state-of-the-art detection accuracy.
β’ Customizable: Allows users to train and fine-tune the model for specific use cases.
β’ Ease of Use: Provides a user-friendly interface for easy integration into existing workflows.
What platforms does YoloNextGen support?
YoloNextGen is compatible with Windows, macOS, and Linux, making it accessible across various operating systems.
Can I customize YoloNextGen for my specific needs?
Yes, YoloNextGen allows custom training using your dataset, enabling tailored object detection for particular use cases.
What types of inputs does YoloNextGen accept?
YoloNextGen supports JPEG, PNG images, and MP4 video files, ensuring flexibility for different applications.