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LocustGuard_YOLO_Model
amobionovo/LocustGuard_YOLO_Model
LocustGuard_YOLO_Model is a machine learning model from amobionovo. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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 manag…
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Updated Dec 23, 2025
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At a glance
- Access
- Public
- Created
- Dec 22, 2025
- Updated
- Dec 23, 2025
- SHA
- f78d3e5f
Model card
From the Hugging Face model README
🦗 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.
🚀 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
💻 Usage
On Hugging Face Spaces
- Go to the LocustGuard Space.
- Wait for the app to launch.
- Upload an image or video.
- View instant locust detection results.
🧠 Model
- The detection model is based on YOLOv8, fine-tuned on a labeled locust dataset.
🙏 Acknowledgments
- Created
- Dec 22, 2025
- Updated
- Dec 23, 2025