thepbordin/YOLOv5-Streamlit-Deployment
Streamlit YOLOv5 deployment template
This project helps machine learning engineers and researchers quickly showcase their YOLOv5 object detection models. You provide your trained YOLOv5 model weights (either local or from a URL) and input images or videos. The project then generates a user-friendly web application where anyone can upload data and see the object detection results in real-time.
No commits in the last 6 months.
Use this if you need a simple, interactive web interface to demonstrate or test a YOLOv5 object detection model without extensive web development.
Not ideal if you require a highly customized front-end or a production-grade deployment with advanced features and scalability.
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27
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16
Language
Python
License
MIT
Category
Last pushed
Jul 18, 2025
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