https://github.com/navin772/retail_product_segmentation
Segment typical products on a retail shelf through Machine Learning techniques and find similar fashion items in a retail fashion store through vector embeddings
https://github.com/navin772/retail_product_segmentation
gsoc-23 machine-learning milvus yolo
Last synced: 6 months ago
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Segment typical products on a retail shelf through Machine Learning techniques and find similar fashion items in a retail fashion store through vector embeddings
- Host: GitHub
- URL: https://github.com/navin772/retail_product_segmentation
- Owner: navin772
- License: mit
- Created: 2023-07-15T14:29:16.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2024-07-25T12:57:29.000Z (almost 2 years ago)
- Last Synced: 2025-01-22T01:51:36.905Z (over 1 year ago)
- Topics: gsoc-23, machine-learning, milvus, yolo
- Language: Python
- Homepage:
- Size: 78.6 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Retail_Store_ML
This 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.
The 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.
For deploying the web application read the `README.md` file in the `web_application` directory for various types of deployment.
## Google Summer of Code 2023 Program
This 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.
Here's the link to my gsoc project - [Analytics Edge Ecosystem Workloads](https://summerofcode.withgoogle.com/programs/2023/projects/YD5TW1gM).
To 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).
## Mentors
This 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.