• archive: The data folder that you will prepare in the next section. Dataset with the Sentinel2 satellite images.
• kp_mathing.py: Python script (.py) for model inference.
• kp_mathing.ipynb: Jupyter Notebook with a detailed solving problem explanation.
• result_{sample}.jpg: Examples of the model's performance on various data.

To run the project, an isolated environment is recommended to manage dependencies and ensure consistency. Here's how to set up the Anaconda environment for this project:

1. Create a New Conda Environment:

   • Open the Anaconda Command Prompt.
   • Use the command conda create --name myenv (replace myenv with your desired environment name).
   • Activate the new environment using conda activate myenv.

2. Install Dependencies:

   • Navigate to the root project directory.
   • Run pip install -r requirements.txt to install the necessary packages.

3. Download Dataset:

   • Go to this site: https://www.kaggle.com/datasets/isaienkov/deforestation-in-ukraine/data.
   • Download data from this competition
   • Unzip the data in your project directory

Once the installation is complete, the environment is ready. You can now execute any script from the project within this Conda environment.