{"id":22120505,"url":"https://github.com/vansh-khaneja/in-store-analytics-using-object-detection","last_synced_at":"2026-04-26T20:31:19.486Z","repository":{"id":250722258,"uuid":"835273184","full_name":"vansh-khaneja/In-Store-Analytics-using-Object-Detection","owner":"vansh-khaneja","description":"This repository will guide you over how to create an object detection model that can count no. of people at a store in real time using YOLOv8 model for detection people around","archived":false,"fork":false,"pushed_at":"2024-07-29T15:03:50.000Z","size":252,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-07T14:03:40.359Z","etag":null,"topics":["machine-learning","object-detection","opencv","python","yolov8"],"latest_commit_sha":null,"homepage":"","language":"Python","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/vansh-khaneja.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":"2024-07-29T13:55:25.000Z","updated_at":"2024-07-29T15:21:18.000Z","dependencies_parsed_at":null,"dependency_job_id":"0575d52a-db7a-423b-bfe5-9dd31f6ef124","html_url":"https://github.com/vansh-khaneja/In-Store-Analytics-using-Object-Detection","commit_stats":null,"previous_names":["vansh-khaneja/in-store-analytics-using-object-detection"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/vansh-khaneja/In-Store-Analytics-using-Object-Detection","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vansh-khaneja%2FIn-Store-Analytics-using-Object-Detection","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vansh-khaneja%2FIn-Store-Analytics-using-Object-Detection/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vansh-khaneja%2FIn-Store-Analytics-using-Object-Detection/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vansh-khaneja%2FIn-Store-Analytics-using-Object-Detection/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/vansh-khaneja","download_url":"https://codeload.github.com/vansh-khaneja/In-Store-Analytics-using-Object-Detection/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vansh-khaneja%2FIn-Store-Analytics-using-Object-Detection/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32312174,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-26T19:15:34.056Z","status":"ssl_error","status_checked_at":"2026-04-26T19:15:15.467Z","response_time":129,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["machine-learning","object-detection","opencv","python","yolov8"],"created_at":"2024-12-01T14:27:12.146Z","updated_at":"2026-04-26T20:31:19.469Z","avatar_url":"https://github.com/vansh-khaneja.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# In-Store Analytics using Object Detection\nThis project implements Object Detection for performing In-Store Analytics using `yolov8n` as the per-trained model. This can help in getting using insights for the store manager to analyze and boost up yhe sales by monitoring the crowd at a particular instance in the store. To learn more about the project please refer this [article](link).\n\n![Alt Text - description of the image](https://github.com/vansh-khaneja/In-Store-Analytics-using-Object-Detection/blob/main/pexels-shvetsa-3962285.jpg?raw=true)\n\n\n## Table of Contents\n\n- [Introduction](#introduction)\n- [Features](#features)\n- [Installation](#installation)\n- [Execution](#execution)\n- [Contact](#contact)\n\n## Introduction\n\nIn this project, we used YOLOv8 model by [Ultralytics](https://docs.ultralytics.com/) for efficiently detecting customers from the video frames in real-time. This can help in getting useful data for the store manager to increase sales.\n\n## Features\n\n- Fast and efficient method\n- Uses `yolov8n` model\n- Real time support\n- Optimizable to increase accuarcy\n\n## Installation\n\n1. Clone the repository:\n\n    ```sh\n    git clone https://github.com/vansh-khaneja/In-Store-Analytics-using-Object-Detection\n    cd In-Store-Analytics-using-Object-Detection\n    ```\n\n2. Set up the Python environment and install dependencies:\n\n    ```sh\n    python3 -m venv venv\n    source venv/bin/activate\n    pip install -r requirements.txt\n    ```\n\n\n## Execution\n\n1.Download the sample Video Dataset for this project [here](https://www.pexels.com/video/people-walking-inside-a-shopping-mall-4750076/) or you can try with your own dataset. Just change the path of the Video here.\n\n```sh\n    input_video_path = \"c:/Users/testing.mp4\"\n```\n\n2.You can also change the model based on the use case. Here in this project we have used ```yolov8n.pt``` model. Please refer [Ultraytics documentation](https://docs.ultralytics.com/models/yolov8/#supported-tasks-and-modes) for learning about different model sizes. You can change the model here.\n   \n```sh\n    from ultralytics import YOLO\n    model = YOLO(\"yolov8n.pt\")\n\n```\n\n3.Execute the ```main.py``` file by running this command in terminal.\n\n```sh\n    python main.py\n```\n\n\n## Contact\n\nFor any questions or issues, feel free to open an issue on this repository or contact me at vanshkhaneja2004@gmail.com.\n\nHappy coding!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvansh-khaneja%2Fin-store-analytics-using-object-detection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvansh-khaneja%2Fin-store-analytics-using-object-detection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvansh-khaneja%2Fin-store-analytics-using-object-detection/lists"}