{"id":18790841,"url":"https://github.com/sdsubhajitdas/multi-label-image-classification-demo","last_synced_at":"2025-04-13T14:21:58.682Z","repository":{"id":37637882,"uuid":"253527654","full_name":"sdsubhajitdas/Multi-Label-Image-Classification-Demo","owner":"sdsubhajitdas","description":"B.Tech Final year project demo","archived":false,"fork":false,"pushed_at":"2022-12-08T10:16:37.000Z","size":16541,"stargazers_count":5,"open_issues_count":8,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-27T05:23:40.018Z","etag":null,"topics":["deep-learning","demonstration","flask-application","image-classification","image-recognition","mobilenetv2","tensorflow","transfer-learning"],"latest_commit_sha":null,"homepage":"","language":"Python","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/sdsubhajitdas.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2020-04-06T14:48:15.000Z","updated_at":"2024-09-07T19:09:33.000Z","dependencies_parsed_at":"2023-01-25T07:00:17.122Z","dependency_job_id":null,"html_url":"https://github.com/sdsubhajitdas/Multi-Label-Image-Classification-Demo","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sdsubhajitdas%2FMulti-Label-Image-Classification-Demo","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sdsubhajitdas%2FMulti-Label-Image-Classification-Demo/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sdsubhajitdas%2FMulti-Label-Image-Classification-Demo/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sdsubhajitdas%2FMulti-Label-Image-Classification-Demo/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sdsubhajitdas","download_url":"https://codeload.github.com/sdsubhajitdas/Multi-Label-Image-Classification-Demo/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248725101,"owners_count":21151628,"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":["deep-learning","demonstration","flask-application","image-classification","image-recognition","mobilenetv2","tensorflow","transfer-learning"],"created_at":"2024-11-07T21:13:48.969Z","updated_at":"2025-04-13T14:21:58.618Z","avatar_url":"https://github.com/sdsubhajitdas.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Multi Label Image Classification Demo\nA simple and functional demo website for my B.Tech final year project demo.\n\n## Getting started.\nYou need to have `python3` and `pip3` in your system.\n\n### Installing\n- First clone the project\n  ```\n  git clone https://github.com/sdsubhajitdas/Multi-Label-Image-Classification-Demo.git\n  ```\n- (Optional) If you like you can use virtualenv to create a private environment and then activate it.\n- Installing the required packages.\n  ```\n  pip install -r requirements.txt\n  ```\n### Usage\n- Running the project is very simple. It is a simple flask application which is serving a tensorflow model already pretrained \u0026 included in the repository. \u003cbr\u003e\n  Run this command to start the local server.\n  ```\n  python run.py\n  ```\n  This should give a output like this.\u003cbr\u003e\n  ![Terminal Output](screenshots/1.jpg)\n\n- Copy the url shown in the terminal and open in your browser. You will be greeted with a page like this.\n  ![Homepage](screenshots/2.jpg)\n\n## Outputs\nOur demo can identify 20 different classes of objects. Below are the following classes.\n```\nAeroplane, Bicycle, Bird, Boat, Bottle, Bus, Car, Cat, Chair, Cow, Dining Table,\nDog, Horse, Motorbike, Person, Potted Plant, Sheep, Sofa, Train, Tvmonitor\n```\nIf you are interested about all the training, model generation work, what methods and architeture we have used then you will have to wait. Will publish the other repository soon [here](#) ***(No link yet)***.\n\nSome of the results are below. Click to see the outputs.\u003cbr\u003e\n\n\u003cdetails\u003e\u003csummary\u003eOutput 1\u003c/summary\u003e\n\u003cp\u003e\n\n![Output 1](screenshots/3.jpg)\n\n\u003c/p\u003e\n\u003c/details\u003e\n\n\u003cdetails\u003e\u003csummary\u003eOutput 2\u003c/summary\u003e\n\u003cp\u003e\n\n![Output 2](screenshots/4.jpg)\n\n\u003c/p\u003e\n\u003c/details\u003e\n\n\u003cdetails\u003e\u003csummary\u003eOutput 3\u003c/summary\u003e\n\u003cp\u003e\n\n![Output 3](screenshots/5.jpg)\n\n\u003c/p\u003e\n\u003c/details\u003e\n\n\u003cdetails\u003e\u003csummary\u003eOutput 4\u003c/summary\u003e\n\u003cp\u003e\n\n![Output 4](screenshots/6.jpg)\n\n\u003c/p\u003e\n\u003c/details\u003e\n\n\u003cdetails\u003e\u003csummary\u003eOutput 5\u003c/summary\u003e\n\u003cp\u003e\n\n![Output 5](screenshots/7.jpg)\n\n\u003c/p\u003e\n\u003c/details\u003e\n\n\u003cdetails\u003e\u003csummary\u003eOutput 6\u003c/summary\u003e\n\u003cp\u003e\n\n![Output 6](screenshots/8.jpg)\n\n\u003c/p\u003e\n\u003c/details\u003e\n\n\u003cdetails\u003e\u003csummary\u003eOutput 7\u003c/summary\u003e\n\u003cp\u003e\n\n![Output 7](screenshots/9.jpg)\n\n\u003c/p\u003e\n\u003c/details\u003e\n\n## Contributors\n\n- [Adrika Nandi](https://www.linkedin.com/in/adrika-nandi-91961015b/)\n- [Angana Bose](https://www.linkedin.com/in/angana-bose-4b0a10143/)\n- [Debolina Lahiri](https://www.facebook.com/debolina.lahiri.73)\n- [Ishani Banerjee](https://www.facebook.com/rimi.banerjee.54390)\n- [Subhajit Das](https://sdsubhajitdas.github.io/)\n- [Urmila Saha](https://www.facebook.com/urmila.saha.790)\n\n## License\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsdsubhajitdas%2Fmulti-label-image-classification-demo","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsdsubhajitdas%2Fmulti-label-image-classification-demo","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsdsubhajitdas%2Fmulti-label-image-classification-demo/lists"}