{"id":23985598,"url":"https://github.com/navin772/retail_product_segmentation","last_synced_at":"2026-01-03T03:11:37.887Z","repository":{"id":181454736,"uuid":"666773712","full_name":"navin772/Retail_product_segmentation","owner":"navin772","description":"Segment typical products on a retail shelf through Machine Learning techniques and find similar fashion items in a retail fashion store through vector embeddings ","archived":false,"fork":false,"pushed_at":"2024-07-25T12:57:29.000Z","size":82457,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-22T01:51:36.905Z","etag":null,"topics":["gsoc-23","machine-learning","milvus","yolo"],"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/navin772.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-07-15T14:29:16.000Z","updated_at":"2024-07-25T12:57:34.000Z","dependencies_parsed_at":null,"dependency_job_id":"2e4bc3d0-53c1-4dab-a441-7bc4277b3e8b","html_url":"https://github.com/navin772/Retail_product_segmentation","commit_stats":null,"previous_names":["navin772/retail_product_segmentation"],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/navin772%2FRetail_product_segmentation","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/navin772%2FRetail_product_segmentation/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/navin772%2FRetail_product_segmentation/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/navin772%2FRetail_product_segmentation/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/navin772","download_url":"https://codeload.github.com/navin772/Retail_product_segmentation/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243720929,"owners_count":20336907,"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":["gsoc-23","machine-learning","milvus","yolo"],"created_at":"2025-01-07T14:25:58.148Z","updated_at":"2026-01-03T03:11:37.844Z","avatar_url":"https://github.com/navin772.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Retail_Store_ML\n\nThis project aims to demonstrate machine learning usecases/applications in the Retail vertical and how it can help retail stores to improve their business and customer experience.\n\nThe directories such as `Colgate_segmentation`, `retail_store_heatmap` contains the code for the respective usecases. The `web_application` directory combines all these usecases into a single web application that can be used by the retail store to get insights. Checkout each folder for more details and implementations.\n\nFor deploying the web application read the `README.md` file in the `web_application` directory for various types of deployment.\n\n## Google Summer of Code 2023 Program\n\nThis project was part of the Google Summer of Code 2023 program under the [openSUSE Project](https://summerofcode.withgoogle.com/programs/2023/organizations/opensuse-project) organization.\n\nHere's the link to my gsoc project - [Analytics Edge Ecosystem Workloads](https://summerofcode.withgoogle.com/programs/2023/projects/YD5TW1gM).\n\nTo read more about this project and my learnings during the google summer of code program, checkout my [Medium blog](https://medium.com/@navinchandra772/google-summer-of-code-2023-opensuse-project-8bd74e38d819).\n\n## Mentors\nThis project was mentored by [Bryan Gartner](https://github.com/bwgartner), [Ann Davis](https://github.com/andavissuse) and [Terry Smith](https://github.com/tlssuse). I would like to thank them for their guidance and support throughout the program.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnavin772%2Fretail_product_segmentation","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnavin772%2Fretail_product_segmentation","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnavin772%2Fretail_product_segmentation/lists"}