About this document
Deep Learning for Bird Species ID by Akhil Mudadla is a document available to read on EtoBox.
This project utilizes deep learning for the automated identification of bird species from images, addressing the inefficiencies of manual identification. It employs a CNN model trained on a dataset of 100 species and 1000 images, achieving 92% validation accuracy. Future enhancements include transfer learning, incorporating audio and location data, and developing a mobile app for real-time identification.
- Author
- Akhil Mudadla
- Language
- EN