metadata
title: LocustGuard
emoji: π¦
colorFrom: green
colorTo: yellow
sdk: gradio
sdk_version: 5.47.2
app_file: app.py
pinned: false
π¦ 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.
π 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
π» 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.
π§ Model
- The detection model is based on YOLOv8, fine-tuned on a labeled locust dataset.