metadata

title: Brain Tumour Detection
emoji: 🦀
colorFrom: gray
colorTo: red
sdk: gradio
sdk_version: 5.16.0
app_file: app.py
pinned: false
license: mit

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

🧠 Brain Tumor Detection using YOLOv8 🎯

🚀 Overview

This Hugging Face Space allows users to upload MRI scan images and detect the presence of a brain tumor using the YOLOv8 object detection model. The model processes the uploaded image and provides an annotated output indicating whether a tumor is detected.

🔹 Built with: YOLOv8 | Gradio | PyTorch | OpenCV
🔹 Live on Hugging Face Spaces! ✅

✨ Features

✔️ Upload MRI scan images 🏥
✔️ YOLOv8-powered brain tumor detection 🧠
✔️ Annotated image output with tumor detection 📸
✔️ Real-time diagnosis message ⏳
✔️ Simple & intuitive UI powered by Gradio 🎨

🛠 How to Use

1️⃣ Upload an MRI image by clicking the "Upload MRI Image" button.
2️⃣ Click "Submit" to analyze the image.
3️⃣ View the results:

The uploaded MRI image with bounding boxes (if a tumor is detected).
A diagnosis message ("Tumor Detected" or "No Tumor Detected").

✅ No installation required! Just visit the Hugging Face Space and start detecting brain tumors instantly.

📁 Model Details

This app uses YOLOv8, an advanced object detection model fine-tuned for brain tumor detection.

Default model: yolov8n.pt (Replace with best.pt for custom-trained model).
Bounding box output with confidence score.
Fast & accurate inference using PyTorch.

🏗 Deployment on Hugging Face Spaces

1️⃣ Create a New Hugging Face Space

Go to Hugging Face Spaces and create a new Gradio Space.

2️⃣ Upload the following files:

app.py (Main Gradio app)
requirements.txt (Dependencies)
model/best.pt (Your trained YOLOv8 model)

3️⃣ Run the Space!

Hugging Face will automatically install dependencies and deploy the app.

📜 Dependencies (Auto-installed in Hugging Face)

gradio
torch
torchvision
ultralytics
opencv-python
numpy