Skip to content

This projects helps in classification of various wild animals using custom CNN network.

Notifications You must be signed in to change notification settings

ReTrO19/Wildlife_Animal_Classification_Using_CNN

Repository files navigation

Classify Wild Animals Using CNN

Project Image

Where There Is Python There Is A Way 😜


Table of Contents


Description

This projects helps in classification of various wild animals using custom CNN network.

Use cases of this project

The CNN Network in this project is trained in 6 classes of wild life animals.You can get the dataset from the following kaggle link.

https://www.kaggle.com/datasets/anshulmehtakaggl/wildlife-animals-images

Technologies

  • Python
  • Tensorflow
  • Jupyter Notebook

Back To The Top


How To Use

Main Installation

    > git clone https://github.com/ReTrO19/Wild_Animals_Classifer_Using_CNN.git
    > cd Wild_Animals_Classifer_Using_CNN
    # using pip
    > pip install -r requirements.txt
    # using conda
    > conda env create -f environment.yml
    > conda activate <env_name>

How to run the inference

    (Run jupyter notebook for train the model and check accuracy and whatnot)
    # For exploring the model run the below command
    > python run_test.py "<img_file_name>"

Outputs

( Model is trained on 2 class Nice and Peace )

Detected Class: Nice

python run_test.py "00000593_300resized.png"

Nice Class

Back To The Top


References

TensorFlow is a free and open-source software library for machine learning and artificial intelligence. It can be used across a range of tasks but has a particular focus on training and inference of deep neural. Tensorflow

Back To The Top


License

MIT License

Copyright (c) [2021] [Abhishek Khamkar]

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Back To The Top


Author Info

Back To The Top

About

This projects helps in classification of various wild animals using custom CNN network.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published