🦋 Insectoscope: Automated Butterfly Species Identification

Welcome to the repository of Insectoscope - an innovative project aimed at automating the identification of butterfly species using deep learning techniques.

🔍 Objective: Insectoscope utilizes pre-trained models and advanced image processing algorithms to accurately classify butterfly species from input images.

📝 Description:

Developed as a part of the senior design project, Insectoscope streamlines the process of butterfly species identification, catering to researchers, enthusiasts, and conservationists alike. Leveraging PyTorch and torchvision, the project offers a robust framework for image classification and inference. Through a user-friendly interface, Insectoscope enables seamless upload and analysis of butterfly images, providing detailed insights into species identification and confidence levels.

🔧 Technologies & Tools:

PyTorch torchvision Google Colab GitHub matplotlib PIL (Python Imaging Library) 🚀 Getting Started:

Clone the repository to your local machine. Follow the setup instructions in the README.md file to configure the environment. Upload your butterfly image and initiate the classification process effortlessly. 🌟 Key Features:

Utilizes pre-trained ResNet models for accurate classification. Offers real-time inference with detailed confidence ratings. Provides intuitive visualization of prediction results. Supports a wide range of butterfly species, including Small White, Large White, Peacock, and more. 📅 Project Status: Active development. Contributions and feedback are highly encouraged.