Track people in a video and capture faces
SOTA real-time object detection model
Generate annotated video with object detection
Paligemma2 Detection with Supervision
Video captioning/tracking
Track and label objects in videos
yolo-bdd-inference
ObjectCounter
Identify objects in images and videos
Identify objects in images and videos
Detect objects in images, videos, and live webcam streams
yolo
Video captioning/open-vocabulary/zero-shot
Yolo People Counter is an AI-powered tool designed to detect and track people in video streams or recorded footage. Leveraging the YOLO (You Only Look Once) object detection system, it provides real-time detection and counting of people while also capturing faces for further analysis. This tool is ideal for applications such as crowd monitoring, surveillance, and people analytics.
What is Yolo People Counter used for?
Yolo People Counter is primarily used for detecting, tracking, and counting people in video streams, making it suitable for applications like surveillance, event monitoring, and retail analytics.
Can Yolo People Counter work with any video source?
Yes, Yolo People Counter supports multiple video sources, including webcams, local video files, and RTSP streams, providing flexibility for different use cases.
How accurate is Yolo People Counter?
The accuracy of Yolo People Counter depends on the quality of the video input and the selected YOLO model. With ideal conditions, it achieves high accuracy in detecting people and capturing faces.