rrizwan98 / End_To_End_Cell_Object_Detection_Using_Yolo_V8_With_Deployment

Successfully concluded YoloV8 Deep Learning project, encompassing MLOps practices, model training facilitated through an intuitive app UI, seamless integration of GitHub Action for automation, and efficient AWS deployment using a robust CI/CD pipeline. Demonstrated expertise in optimizing object detection with cutting-edge techniques.

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End_To_End_Cell_Object_Detection_Using_Yolo_V8_With_Deployment

In this repo we will using all MLOps concepts like (CICD Pipeline, git-action, train model using web UI, etc)

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Successfully concluded YoloV8 Deep Learning project, encompassing MLOps practices, model training facilitated through an intuitive app UI, seamless integration of GitHub Action for automation, and efficient AWS deployment using a robust CI/CD pipeline. Demonstrated expertise in optimizing object detection with cutting-edge techniques.


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