{"id":27166916,"url":"https://github.com/vovod/animal-classify","last_synced_at":"2026-01-21T03:32:09.609Z","repository":{"id":237581503,"uuid":"794813102","full_name":"vovod/animal-classify","owner":"vovod","description":"Animal Image Classification","archived":false,"fork":false,"pushed_at":"2025-05-13T15:05:31.000Z","size":25610,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-05-13T16:27:42.582Z","etag":null,"topics":["animals","efficientnet","pytorch"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/vovod.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,"zenodo":null}},"created_at":"2024-05-02T02:18:10.000Z","updated_at":"2025-05-13T15:05:34.000Z","dependencies_parsed_at":null,"dependency_job_id":"842564fd-51de-4c12-9e5b-f39ed1d13583","html_url":"https://github.com/vovod/animal-classify","commit_stats":null,"previous_names":["vovod/animal-classify"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/vovod/animal-classify","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vovod%2Fanimal-classify","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vovod%2Fanimal-classify/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vovod%2Fanimal-classify/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vovod%2Fanimal-classify/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/vovod","download_url":"https://codeload.github.com/vovod/animal-classify/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vovod%2Fanimal-classify/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28624506,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-21T02:47:06.670Z","status":"ssl_error","status_checked_at":"2026-01-21T02:45:44.886Z","response_time":86,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["animals","efficientnet","pytorch"],"created_at":"2025-04-09T04:49:55.745Z","updated_at":"2026-01-21T03:32:09.604Z","avatar_url":"https://github.com/vovod.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Animal Image Classification\n\nThis project is a simple image classification project using EfficientNetV2 to classify images of animals. The dataset used in this project is the [Kaggle Animal Image Dataset](https://www.kaggle.com/datasets/iamsouravbanerjee/animal-image-dataset-90-different-animals). The dataset contains 90 different animals with 60 images per class.\n\n## Requirements\n\n- Run the following command to install the required packages:\n  `pip install -r requirements.txt`\n- Cuda 12.1 is required to run the code on GPU.\n\n## Usage\n\n- Run the following command to train the model without pre-trained weights (EfficientNetV2):  \n  `python train.py`\n- Run the following command to train the model with pre-trained weights (EfficientNetV2):  \n  `python pretrained.py`\n- Run the following command to test the model after training:  \n  `python test_predict.py`\n\n## Results\n\nThe model trained without pre-trained weights achieved an best accuracy of 0.453 on the test set after 200 epochs.  \nThe model trained with pre-trained weights achieved an best accuracy of 0.953 on the test set.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvovod%2Fanimal-classify","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvovod%2Fanimal-classify","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvovod%2Fanimal-classify/lists"}