{"id":18764742,"url":"https://github.com/plantnet/geolifeclef","last_synced_at":"2025-04-06T22:12:07.643Z","repository":{"id":44384980,"uuid":"162409756","full_name":"plantnet/GeoLifeCLEF","owner":"plantnet","description":"GeoLifeCLEF challenge toolkit and starter code","archived":false,"fork":false,"pushed_at":"2024-10-15T07:44:01.000Z","size":77541,"stargazers_count":59,"open_issues_count":2,"forks_count":27,"subscribers_count":6,"default_branch":"master","last_synced_at":"2025-03-30T21:09:55.409Z","etag":null,"topics":["challenge","clef","deep-learning","lifeclef","machine-learning","species-distribution-modelling"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/plantnet.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2018-12-19T08:54:02.000Z","updated_at":"2024-10-15T07:44:04.000Z","dependencies_parsed_at":"2024-01-15T06:10:47.461Z","dependency_job_id":"66dd5c2b-9aca-4fe1-8150-7a38b9bd4502","html_url":"https://github.com/plantnet/GeoLifeCLEF","commit_stats":{"total_commits":175,"total_committers":12,"mean_commits":"14.583333333333334","dds":0.6799999999999999,"last_synced_commit":"a6fffbf413d5cbb3336edf0cbded9c58ae193549"},"previous_names":["maximiliense/glc","plantnet/geolifeclef","plantnet/glc"],"tags_count":5,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/plantnet%2FGeoLifeCLEF","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/plantnet%2FGeoLifeCLEF/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/plantnet%2FGeoLifeCLEF/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/plantnet%2FGeoLifeCLEF/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/plantnet","download_url":"https://codeload.github.com/plantnet/GeoLifeCLEF/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247557770,"owners_count":20958047,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["challenge","clef","deep-learning","lifeclef","machine-learning","species-distribution-modelling"],"created_at":"2024-11-07T18:31:19.228Z","updated_at":"2025-04-06T22:12:07.621Z","avatar_url":"https://github.com/plantnet.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# GeoLifeCLEF 2023\n\nThis repository is related to the GeoLifeCLEF challenge. The details of the challenge, the data, and all other useful information are present on the challenge page: [https://www.kaggle.com/competitions/geolifeclef-2023-lifeclef-2023-x-fgvc10](https://www.kaggle.com/competitions/geolifeclef-2023-lifeclef-2023-x-fgvc10 \"GeoLifeClef2023 kaggle page!\")\n\n## codes\nIn this repository you will find dataloaders, sample_data and example to help using the challenge's dataset.\n- In ``data/sample_data/`` you will find a small sample of the dataset to try codes and loaders.\n- ``example_patch_loading.ipynb`` and ``example_patch_loading.py`` give an example of pytorch dataset creation for CNN tensors taking into account different cases.\n- ``example_time_series_loading.ipynb`` and ``example_time_series_loading.py`` give an example of pytorch dataset creation for time series tensors taking into account different cases.\n\n## Environment\n We provide a conda environment containing the needed libraries to use this code.\n ```conda env create -f environment.yml```\n ```conda activate glc23```","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fplantnet%2Fgeolifeclef","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fplantnet%2Fgeolifeclef","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fplantnet%2Fgeolifeclef/lists"}