Description:
The Bird Species Identifier is a deep learning model capable of identifying 10 different bird species. Given an image, it predicts the bird species and provides basic information about the bird. The model is built using Python and the TensorFlow library, along with dependencies such as NumPy, Matplotlib, and Keras.
Table of Contents:
Installation Usage Contributing Contact
Installation:
To use the Bird Species Identifier, follow these steps: 1.Install Python on your system if you haven't already.
2.Install TensorFlow and other required libraries using pip:
pip install tensorflow numpy matplotlib keras
3.Clone this repository to your local machine:
git clone https://github.com/yourusername/bird-species-identifier.git
4.Navigate to the project directory:
cd bird-species-identifier
5.Run the provided Python scripts to train the model, evaluate its performance, and use it for bird species identification.
Usage:
You can use the Bird Species Identifier as follows:
- Provide an image of a bird to the model.
- The model will predict the bird species and provide basic knowledge about the bird.
Contributing:
This project is an individual effort. However, the dataset used for training the model was obtained from Kaggle, which contains 525 bird species. Contributions in the form of bug fixes, enhancements, or suggestions are welcome. Please open an issue or submit a pull request if you'd like to contribute.
The link of the data set: https://www.kaggle.com/code/vencerlanz09/bird-classification-using-cnn-efficientnetb0 .
Contact: For any inquiries or feedback, you can contact the project owner on their LinkedIn profile: https://www.linkedin.com/in/gaurav-joshi-ab2937255/ .