---
title: LocustGuard
emoji: "🦗"
colorFrom: green
colorTo: yellow
sdk: gradio
sdk_version: "5.47.2"
app_file: app.py
pinned: false
---

# 🦗 LocustGuard

LocustGuard is a powerful computer vision app for detecting and classifying locusts in images or video.  
Built on **YOLOv8** and **Gradio**, it is designed to help researchers, farmers, and agri-technologists monitor and manage locust infestations at scale.

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## 🚀 Features

- Detects and highlights locusts in static images (JPG, PNG) and video files (MP4, MOV)  
- Fast inference powered by a custom-trained YOLOv8 model  
- Intuitive web app interface built with Gradio  
- Easy deployment on Hugging Face Spaces or locally via GitHub  

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## 💻 Usage

### On Hugging Face Spaces
1. Go to the LocustGuard Space.  
2. Wait for the app to launch.  
3. Upload an **image** or **video**.  
4. View instant locust detection results.  

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## 🧠 Model

- The detection model is based on YOLOv8, fine-tuned on a labeled locust dataset.  

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## 🙏 Acknowledgments

- [Ultralytics YOLO](https://github.com/ultralytics/ultralytics)  
- [Hugging Face Spaces](https://huggingface.co/spaces)