Computer vision-based system for the detection of wild animals
Installation:-
- Python 3.6 or above
- Tensorflow 2.4 or above
- Numpy 1.2 or above
- Matplotlib 3.1 or above
- Pandas 1.4 or above
Configuration Instructions:-
- Download the dataset
- Store the different classes of Animals into different folders here 10
- Do preprocessing using KMeans Segmentation
- Do artifical sythesis of Images using Data Augmentation to solve class imbalance
- Run the Wild_Animal_Detection.ipynb file as a Jupyter Notebook or Colab Notebook
Hardware Requirements:-
- RAM: 16GB or above
- Graphics: RTX 3050 or above 4GB+ VRAM
Software Requirements:-
- OS: Windows or Mac OS or Linux
Path:- train_data_path is the path to training data and valid_data_path is the path to testing data