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A visually polluted object (VPO) detection and quantification application using python where we had YOLOv7 trained weights as the backend deep learning model

Python 99.32% Shell 0.48% Dockerfile 0.20%
deep-learning flask visual-pollution vpo yolo yolov7-deepsort

visual-pollution-detection-and-quantification-application-from-vehicle's Introduction

Hello, I'm Md. Farhan Hasin Saad

I'm a responsible, hardworking, and skilled graduate of Computer Science Engineering from North South University with a major in Artificial Intelligence. I'm passionate about AI and eager to make meaningful contributions to the field. I also have good understanding in Fullstack Web developement.

saadism777

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saadism7 saadism saadismm saadism_

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bootstrap c cplusplus css3 django firebase flask git heroku html5 java javascript mysql opencv pandas php postman python pytorch react scikit_learn seaborn sqlite tensorflow

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