{"id":20519543,"url":"https://github.com/syedaanif/object-detection","last_synced_at":"2025-07-13T05:35:17.095Z","repository":{"id":198250949,"uuid":"643207305","full_name":"SyedAanif/object-detection","owner":"SyedAanif","description":"Object Detection using Azure Cognitive Service for Computer Vision","archived":false,"fork":false,"pushed_at":"2023-10-24T13:37:03.000Z","size":1452,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-16T10:32:01.464Z","etag":null,"topics":["advanced-computer-vision","artificial-intelligence","azure-cognitive-services","computer-vision","machine-learning","microsoft-azure","object-detection"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# object-detection\nObject Detection using Azure Cognitive Service for Computer Vision\n\n## Introduction\nObject detection is a form of machine learning based computer vision in which a model is trained to recognize individual types of objects in an image, and to identify their location in the image.\n\nAn object detection model returns the following information:\n- The class of each object identified in the image.\n- The probability score of the object classification (which you can interpret as the *confidence* of the predicted class being correct).\n- The coordinates of a bounding box for each object.\n\n![Screenshot 2023-05-20 182430](https://github.com/SyedAanif/object-detection/assets/66770875/a28d1da2-9e9d-4045-b546-62938b731cfc)\n\n![Screenshot 2023-05-20 182303](https://github.com/SyedAanif/object-detection/assets/66770875/8f752dd3-db15-4d46-a508-732d3be3627a)\n\nObject Detection belongs to advanced computer vision and can be performed in the following ways:\n- [Azure Cognitive Services for Vision](https://learn.microsoft.com/en-us/azure/cognitive-services/)\n  + [Computer Vision](https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview)\n  + [Custom Vision](https://learn.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/overview)\n- Build own advanced computer vision models.\n\nIn this project we will be utilising `Azure Computer Vision` service to process images for object-detection.\n\n## Pre-requisites\n- Python 3.X version: \n  + [Installation using Anaconda distribution](https://docs.anaconda.com/free/anaconda/#installation)\n  + [Python Website](https://www.python.org/downloads/)\n- [Microsoft Azure Account](https://azure.microsoft.com/en-in/free/)\n- Editor of choice:\n  + Jupyter Notebook comes packaged with Conda distribution\n  + [Google Colab](https://colab.research.google.com/)\n\n## Steps to perform Object-Detection\n1. Sign-in to your [Microsoft Azure account](https://portal.azure.com/#home).\n\n2. Create a [Resource Group](https://learn.microsoft.com/en-us/azure/azure-resource-manager/management/manage-resource-groups-portal#what-is-a-resource-group) (in a region closest to your location) to logically contain your Azure Resources.\n\n   ![Screenshot 2023-05-20 184826](https://github.com/SyedAanif/object-detection/assets/66770875/006fe832-fe47-4e8e-85bb-ed11cd985252)\n\n4. Create a [Computer Vision](https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview) service inside the resource group created above.\n\n   ![Screenshot 2023-05-20 185100](https://github.com/SyedAanif/object-detection/assets/66770875/a8fdb5ce-a668-4c6d-ad42-3c3f67dbeb04)\n\n6. Copy the `Keys` and `Endpoint` from the `Computer Vision` resource and substitute them for `subscription_key` and `endpoint` respectively. This will be used to authenticate the computer-vision-client to the computer vision resource.\n\n   ![Screenshot 2023-05-20 185200](https://github.com/SyedAanif/object-detection/assets/66770875/9669c23c-9cb0-453f-bad8-f9c6ea86266a)\n\n   ![Screenshot 2023-05-20 193145](https://github.com/SyedAanif/object-detection/assets/66770875/a98afba0-23bb-45c1-ba48-99b1f9a99d73)\n  \n5. Run the provided notebook for performing object-detection.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsyedaanif%2Fobject-detection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsyedaanif%2Fobject-detection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsyedaanif%2Fobject-detection/lists"}