{"id":20245561,"url":"https://github.com/sujata-adhikari/machine-learning","last_synced_at":"2026-04-09T08:13:39.128Z","repository":{"id":190554500,"uuid":"616786920","full_name":"sujata-adhikari/Machine-Learning","owner":"sujata-adhikari","description":"Potato Disease Classification:  Inspired by our kitchen garden,  to detect potato disease using image of grown potato plant leaf.","archived":false,"fork":false,"pushed_at":"2023-09-12T10:42:08.000Z","size":2223,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-14T01:50:01.948Z","etag":null,"topics":["cnn-classification","jyputer-notebook","kaggle-dataset","machine-learning","opencv","pandas","python","tensorflow"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/sujata-adhikari.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":"2023-03-21T04:31:17.000Z","updated_at":"2024-01-01T16:47:23.000Z","dependencies_parsed_at":"2024-11-14T09:27:02.491Z","dependency_job_id":"5b147d28-8162-4659-818f-d5e34b74b205","html_url":"https://github.com/sujata-adhikari/Machine-Learning","commit_stats":null,"previous_names":["sujata-adhikari/ml","sujata-adhikari/machine-learning"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sujata-adhikari%2FMachine-Learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sujata-adhikari%2FMachine-Learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sujata-adhikari%2FMachine-Learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sujata-adhikari%2FMachine-Learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sujata-adhikari","download_url":"https://codeload.github.com/sujata-adhikari/Machine-Learning/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241691690,"owners_count":20004087,"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":["cnn-classification","jyputer-notebook","kaggle-dataset","machine-learning","opencv","pandas","python","tensorflow"],"created_at":"2024-11-14T09:22:05.169Z","updated_at":"2025-10-24T06:47:48.596Z","avatar_url":"https://github.com/sujata-adhikari.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Potato Disease Classification using CNN\n\nA Machine learning Project to demonstrate image Classification.\n\nThis project helps us detect potoato disease when image of potato leave is given as input.\n\n## Python libraries used\n\n[Tensorflow](https://www.tensorflow.org/tutorials/images/classification)\n\n[Matplotlib](https://matplotlib.org/)\n\n[Numpy](https://numpy.org/)\n\n[OS](https://docs.python.org/3/library/os.html)\n\n## Installation\n\nInstall [Jyupter Notebook](https://docs.jupyter.org/en/latest/install.html)\n or use [Google Colab](https://colab.research.google.com/)\n\nFor DATA use [Kaggle](https://www.kaggle.com/datasets/arjuntejaswi/plant-village)\n    \n## Model Training \n\n\n    1.Download the data from kaggle.\n    2.Keep folders related to Potatoes.\n    3.Run Jupyter Notebook in Browser.\n\n    jupyter notebook\n    Open training/potato-disease-training.ipynb in Jupyter Notebook.\n    In cell #2, update the path to dataset.\n    Run all the Cells one by one.\n    Copy the model generated and save it with the version number in the models folder.\n\n\n## Contributing\n\nContributions are always welcome!\n\n1. Report bugs: If you encounter any bugs, please let us know. Open up an issue and let us know the problem.\n2. Contribute code: If you are a developer and want to contribute, follow the instructions below to get started.\n3. Suggestions: If you don't want to code but have some awesome ideas, open up an issue explaining some updates or improvements you would like to see.\n4. Documentation: If you see the need for some additional documentation, feel free to add some.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsujata-adhikari%2Fmachine-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsujata-adhikari%2Fmachine-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsujata-adhikari%2Fmachine-learning/lists"}