Multi-Model Image Segmentation App using YOLO & Streamlit | Brain Tumor, Roads, Cracks & More

🚀 Image Segmentation Web App Using Streamlit + YOLO | Multiple Pretrained Segmentation Models

In this video, I walk you through an end-to-end Streamlit Segmentation Application that supports multiple deep-learning models such as:
🧠 Brain Tumor Segmentation
🛣 Road Segmentation
🌿 Leaf Disease Segmentation
🧍 Person Segmentation
🕳 Pothole Segmentation
⚡ Crack Segmentation

Whether you're working with medical images, road analysis, civil engineering, or computer vision projects — this system helps you build a flexible, production-ready app!

🔧 Tech Stack Used
Streamlit
YOLO (Ultralytics)
OpenCV
NumPy
PIL
Python

📌 Features of the App
⭐ Multiple pretrained models support
⭐ Transparent segmentation overlay
⭐ Smooth UI design with background image
⭐ Automatic mask resizing
⭐ Fully modular Python code
⭐ Easy to integrate into other projects

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📁 GitHub Repository : https://github.com/NitinCVOrbit/Multiple_Models_Segmentation_Webapp_YOLO

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