Minecraft-Mob-Detection

Description

This project aims to develop a classification model using TensorFlow and Convolutional Neural Networks (CNN) to distinguish between hostile and passive creatures of the game Minecraft.

Dataset

The dataset can be obtained from : https://universe.roboflow.com/minecraft-object-detection/minecraft-mob-detection/dataset/10

After downloading the dataset, extract it and place the three folders (train, valid, test) inside the data directory. The workspace structure should resemble the following :

data
 |- train
 |- valid
 |- test

Setup the Project

0. Ensure you have Python installed on your system.

1. Clone the repository:

   git clone [email protected]:Antoine-ValentinCharpentier/Minecraft-Mob-Detection.git
   cd Minecraft-Mob-Detection

2. Initialise the venv:

   python -m venv .venv
   .venv\Scripts\activate OU source .venv/bin/activate
   pip install -r requirements.txt

3. Execute the script cnn.ipynb