YOLOv8 object detection, tracking, image segmentation and pose estimation app using Ultralytics API (for detection, segmentation and pose estimation), as well as DeepSORT (for tracking) in Python. This app uses an UI made with streamlit and it can be deployed with Docker.

Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.

This repository contains a full collection of real-world Computer Vision applications built using Python, OpenCV, YOLOv8, MediaPipe, and Deep Learning. It includes image/video processing, object detection, pose estimation, gesture recognition, tracking, segmentation, and more.

YOLOv8目标检测、跟踪、图像分割和姿态估计应用程序+Streamlit制作的用户界面

Developed a multi-model AI vision analyzer using YOLOv8, OpenCV, and Streamlit to deliver real-time object detection, segmentation, pose estimation, and tracking across image, video, and webcam inputs.

Ultralytics YOLOv8 is a cutting-edge, state-of-the-art (SOTA) model. YOLOv8 is designed to be fast, accurate, and easy to use, making it an excellent choice for a wide range of object detection and tracking, instance segmentation, image classification and pose estimation tasks.