amobionovo/LocustGuard_YOLO_Model

🦗 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
• Hugging Face Spaces