Build an Object Detection Web App using YOLO and Streamlit | Python + OpenCV Tutorial
In this video, I’ll walk you through how to build an Object Detection Web App using Streamlit and YOLO. 🚀
You’ll learn how to integrate pretrained models (like Apple, Banana, Orange, Bear, Brain Tumor, Number Plate, Pothole, and more) into a single unified web interface using Python, OpenCV, and Ultralytics YOLO.
We’ll cover everything step-by-step — from loading YOLO models and drawing bounding boxes with OpenCV, to visualizing detection results directly inside a clean, interactive Streamlit dashboard.
This app allows you to:
Upload any image 🖼️
Select your desired pretrained model 🔍
Run object detection with a single click ⚡
Get real-time detection counts and visual results 🎯
Perfect for anyone looking to learn how to deploy YOLO models in Streamlit or build a multi-model detection dashboard.
📂 GitHub Repository:
https://github.com/NitinCVOrbit/Multi...
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