Animal-Behaviour-and-Disease-Detection

"Animal Behavior & Disease Detection: Utilize YOLO and MobileNetV2_img_classifier for real-time animal behavior tracking and disease identification. A valuable tool for wildlife researchers and conservationists. 🦁🔍🦠 #WildlifeAI #DeepLearning #Conservation"

Animal Behavior & Disease Detection 🦁🦠

Overview

This repository provides a robust solution for real-time animal behavior detection and disease identification using cutting-edge deep learning models. It combines the power of YOLO (You Only Look Once) for object detection and MobileNetV2_img_classifier for image classification.

Features

• Animal Behavior Detection: Accurately track and identify animal behaviors in real-time using YOLO.
• Disease Diagnosis: Detect and diagnose potential diseases in wildlife through image analysis.
• Conservation Tool: An essential tool for wildlife researchers and conservationists to monitor and protect wildlife.
• Easy Integration: Well-documented and easy-to-integrate codebase.

Getting Started

1. Clone this repository.

2. Install the required dependencies using pip install.

   • Note: It is recommended to run this project in a virtual environment named "myenv" using the following command: myenv/Script/activate

3. Configuration: Replace the config file in the "myenv" folder with your specific configuration.

Usage

Here's how you can quickly get started:

Run animal behavior detection

python testings.py or videos.py

##Screenshots

1.Input and Output

2.Input and Output

output: