{"id":23592765,"url":"https://github.com/tushar2704/plant_seedling_classification","last_synced_at":"2026-05-01T04:37:06.167Z","repository":{"id":187467646,"uuid":"676954974","full_name":"tushar2704/Plant_Seedling_Classification","owner":"tushar2704","description":"This project focuses on the classification of plant seedlings using deep learning techniques. 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Plant Seedling Classification\n\n![Python](https://img.shields.io/badge/Python-3776AB.svg?style=for-the-badge\u0026logo=Python\u0026logoColor=white)\n![Pandas](https://img.shields.io/badge/pandas-%23150458.svg?style=for-the-badge\u0026logo=pandas\u0026logoColor=white)\n![PyTorch](https://img.shields.io/badge/PyTorch-%23EE4C2C.svg?style=for-the-badge\u0026logo=PyTorch\u0026logoColor=white)\n![TensorFlow](https://img.shields.io/badge/TensorFlow-%23FF6F00.svg?style=for-the-badge\u0026logo=TensorFlow\u0026logoColor=white)\n![Microsoft Excel](https://img.shields.io/badge/Microsoft_Excel-217346?style=for-the-badge\u0026logo=microsoft-excel\u0026logoColor=white)\n![Canva](https://img.shields.io/badge/Canva-%2300C4CC.svg?style=for-the-badge\u0026logo=Canva\u0026logoColor=white)\n![Visual Studio Code](https://img.shields.io/badge/Visual%20Studio%20Code-0078d7.svg?style=for-the-badge\u0026logo=visual-studio-code\u0026logoColor=white)\n![Markdown](https://img.shields.io/badge/markdown-%23000000.svg?style=for-the-badge\u0026logo=markdown\u0026logoColor=white)\n![Microsoft Office](https://img.shields.io/badge/Microsoft_Office-D83B01?style=for-the-badge\u0026logo=microsoft-office\u0026logoColor=white)\n![Microsoft Word](https://img.shields.io/badge/Microsoft_Word-2B579A?style=for-the-badge\u0026logo=microsoft-word\u0026logoColor=white)\n![GitHub](https://img.shields.io/badge/github-%23121011.svg?style=for-the-badge\u0026logo=github\u0026logoColor=white)\n![Windows Terminal](https://img.shields.io/badge/Windows%20Terminal-%234D4D4D.svg?style=for-the-badge\u0026logo=windows-terminal\u0026logoColor=white)\n## Overview\n\nThis project focuses on the classification of plant seedlings using deep learning techniques. The goal is to develop a model that can accurately identify different types of plant species or determine the health status of seedlings based on input images.\n\n### Web App comming soon!\n\n## Dataset\nDataset include 4430 files belonging to 12 classes. Dataset is publicly available [here](https://vision.eng.au.dk/?download=/data/WeedData/NonsegmentedV2.zip)\n\n## Getting Started\nThe list of Species is as follows:\n\n    Black-grass ,Charlock Cleavers, Common Chickweed ,Common wheat ,Fat Hen, Loose Silky-bent ,Maize, Scentless Mayweed, Shepherds Purse, Small-flowered Cranesbill ,Sugar beet\n\nThis is an plant seedling classification.I used transfer learning to classify images. The goal is to develop a model that can give more accuracy on the different species of plant.\n\n\n\n## License\n\nThis project is licensed under the [MIT License](LICENSE).\n\n\n## Author\n- \u003cins\u003e\u003cb\u003e©2023 Tushar Aggarwal. All rights reserved\u003c/b\u003e\u003c/ins\u003e\n- \u003cb\u003e[LinkedIn](https://www.linkedin.com/in/tusharaggarwalinseec/)\u003c/b\u003e\n- \u003cb\u003e[Medium](https://medium.com/@tushar_aggarwal)\u003c/b\u003e \n- \u003cb\u003e[Tushar-Aggarwal.com](https://www.tushar-aggarwal.com/)\u003c/b\u003e\n- \u003cb\u003e[New Kaggle](https://www.kaggle.com/tagg27)\u003c/b\u003e \n\n## Contact me!\nIf you have any questions, suggestions, or just want to say hello, you can reach out to us at [Tushar Aggarwal](mailto:info@tushar-aggarwal.com). We would love to hear from you!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftushar2704%2Fplant_seedling_classification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftushar2704%2Fplant_seedling_classification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftushar2704%2Fplant_seedling_classification/lists"}