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---
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title: LocustGuard
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emoji: "🦗"
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colorFrom: green
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colorTo: yellow
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sdk: gradio
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sdk_version: "5.47.2"
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app_file: app.py
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pinned: false
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---
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# 🦗 LocustGuard
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LocustGuard is a powerful computer vision app for detecting and classifying locusts in images or video.
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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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---
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## 🚀 Features
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- Detects and highlights locusts in static images (JPG, PNG) and video files (MP4, MOV)
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- Fast inference powered by a custom-trained YOLOv8 model
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- Intuitive web app interface built with Gradio
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- Easy deployment on Hugging Face Spaces or locally via GitHub
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---
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## 💻 Usage
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### On Hugging Face Spaces
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1. Go to the LocustGuard Space.
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2. Wait for the app to launch.
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3. Upload an **image** or **video**.
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4. View instant locust detection results.
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---
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## 🧠 Model
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- The detection model is based on YOLOv8, fine-tuned on a labeled locust dataset.
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---
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## 🙏 Acknowledgments
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- [Ultralytics YOLO](https://github.com/ultralytics/ultralytics)
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- [Hugging Face Spaces](https://huggingface.co/spaces)
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