YOLOv8 Streamlit APP

This repository supply a user-friendly interactive interface for YOLOv8 and the interface is powered by Streamlit. It could serve as a resource for future reference while working on your own projects.

• Feature1: Object detection task.
• Feature2: Multiple detection models. yolov8n, yolov8s, yolov8m, yolov8l, yolov8x
• Feature3: Multiple input formats. Image, Video, Webcam

# create
conda create -n yolov8-streamlit python=3.8 -y

# activate
conda activate yolov8-streamlit

git clone https://github.com/JackDance/YOLOv8-streamlit-app

# yolov8 dependencies
pip install ultralytics

# Streamlit dependencies
pip install streamlit

Create a directory named weights and create a subdirectory named detection and save the downloaded YOLOv8 object detection weights inside this directory. The weight files can be downloaded from the table below.

streamlit run app.py

Then will start the Streamlit server and open your web browser to the default Streamlit page automatically.

• Add Tracking capability.
• Add Classification capability.
• Add Pose estimation capability.

If you also like this project, you may wish to give a star (^.^)✨ . If any questions, please raise issue~