Bird Species Classification using Deep Learning #843
Description
Deep Learning Simplified Repository (Proposing new issue)
🔴 BIRD SPECIES CLASSIFICATION with DEEP LEARNING :
🔴 Aim : Classify the bird species
🔴 Dataset : https://www.kaggle.com/datasets/gpiosenka/100-bird-species/data?select=birds.csv
🔴 Approach : EfficientNetB0, InceptionV3, VGG16 model, InceptionResNetV2 2
📍 Follow the Guidelines to Contribute in the Project :
- You need to create a separate folder named as the Project Title.
- Inside that folder, there will be four main components.
- Images - To store the required images.
- Dataset - To store the dataset or, information/source about the dataset.
- Model - To store the machine learning model you've created using the dataset.
requirements.txt- This file will contain the required packages/libraries to run the project in other machines.
- Inside the
Modelfolder, theREADME.mdfile must be filled up properly, with proper visualizations and conclusions.
🔴🟡 Points to Note :
- The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.
- "Issue Title" and "PR Title should be the same. Include issue number along with it.
- Follow Contributing Guidelines & Code of Conduct before start Contributing.
✅ To be Mentioned while taking the issue :
- Full name : Pavitraa G
- GitHub Profile Link : @pavitraag
- Email ID : pavitraagopi@gmail.com
- What is your participant role? GSSOC 24 Contributor
Happy Contributing 🚀
All the best. Enjoy your open source journey ahead. 😎