GeoLifeCLEF
GeoLifeCLEF challenge toolkit and starter code
This repository is related to the GeoLifeCLEF challenges. The details of each challenge, the data, and all other useful information are present on the challenge pages: * [GeoLifeCLEF 2022](https://www.kaggle.com/competitions/geolifeclef-2022-lifeclef-2022-fgvc9) * [GeoLifeCLEF 2023](https://www.kaggle.com/competitions/geolifeclef-2023-lifeclef-2023-x-fgvc10) * [GeoLifeCLEF 2024](https://www.kaggle.com/competitions/geolifeclef-2024) * [GeoLifeCLEF 2025](https://www.kaggle.com/c/geolifeclef-2025) The project is written primarily in Jupyter Notebook, distributed under the MIT License license, first published in 2018. Key topics include: challenge, clef, deep-learning, lifeclef, machine-learning.
GeoLifeCLEF
This repository is related to the GeoLifeCLEF challenges. The details of each challenge, the data, and all other useful information are present on the challenge pages:
Code Base
In this repository, you will find dataloaders, sample_data, and examples to help using the challenge datasets.
- In
data/sample_data/you will find a small sample of the dataset to try codes and loaders. example_patch_loading.ipynbandexample_patch_loading.pygive an example of pytorch dataset creation for CNN tensors taking into account different cases.example_time_series_loading.ipynbandexample_time_series_loading.pygive an example of pytorch dataset creation for time series tensors taking into account different cases.
Environment
We provide a conda environment containing the needed libraries to use this code.
conda env create -f environment.yml
conda activate glc23
Contributors
Showing top 7 contributors by commit count.
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