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Computer Vision Python algorithm/model to detect events in highway

$30-250 USD

Completed
Posted 5 months ago

$30-250 USD

Paid on delivery
I need to develop one or more algorithms with a pretrained model to detect incidents in highway cams. Will be events like crashes and/or traffic jams. We need to detect and differentiate both events. Also we need to identufy type of vehicle. Images quality and camera position are not always optimal, a lot of them are quite old. Ideally on AWS, but also a local version on a local notebook can work.
Project ID: 37552992

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2 proposals
Remote project
Active 5 mos ago

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Hello, After carefully reviewing the requirements, I am confident that I am the perfect candidate for your project. I completed my Master of Applied Science (thesis-based), specializing in Computer Vision. My research focuses on object detection, segmentation models, graph neural networks, graph adversarial networks, transformers, and various unsupervised models. I have published papers in this research field and presented my work at international conferences. I have proposed a novel segmentation model that performs better compared to other models. I also proposed a regularized loss function that performs well on skewed data distribution. I worked on a project related to highways where I collected thermal images of pedestrians in different weather conditions and develop a segmentation models for Pedestrian detection using thermal imaging. If you have any questions or would like to discuss the work further, please feel free to connect with me in the chat. I am available to address any queries you may have. Looking forward to the opportunity to work with you. Best regards, Rhythm
$250 USD in 5 days
5.0 (3 reviews)
2.1
2.1
2 freelancers are bidding on average $240 USD for this job
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Hello there! My name is Rocky and I'm the owner of an IT agency. I have extensive experience in machine learning and Python, which makes me the perfect candidate for this job. I understand exactly what you're looking for - a computer vision algorithm to detect incidents in highway cams that will be events like crashes and traffic jams. We need to detect and differentiate both events as well as identify type of vehicle. Images quality and camera position are not always optimal so a lot of them are quite old. Ideally on AWS but also a local version on a local notebook can work. I believe I am the best fit for this project because of my extensive experience in machine learning and Python which makes me the perfect candidate for this job. My business acumen enables me to make informed decisions ensuring the agency's growth and success. My adaptability, creative problem solving and ethical business practices characterize my approach which ensures client satisfaction through effective communication and tailored services. If you're interested in my skillset please feel free to reach out and we can discuss further!
$230 USD in 30 days
0.0 (0 reviews)
0.0
0.0

About the client

Flag of UNITED STATES
Atlanta, United States
5.0
23
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Member since Feb 27, 2021

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