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Crowd Structure Analysis using Deep Learning Tools1

$30-250 USD

Closed
Posted over 4 years ago

$30-250 USD

Paid on delivery
Crowd density analysis using deep learning where video footages of a crowd is to be analysed using Deep learning tool. We want to have different scenarios such as dense crowds and sparse crowds. The output should be density map fluctuations over the recent images (video-frames) into a number of scenarios.
Project ID: 22347536

About the project

6 proposals
Remote project
Active 4 yrs ago

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6 freelancers are bidding on average $182 USD for this job
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Hi there, I am a data scientist and Being an expert machine learning and artificial intelligence I can do this project for you. please leave a message on my chat so we can discuss the budget and deadline of the project. Also, have a look at my profile for my reviews and portfolios. Thanks Note: This is not an automated bid and i'm ready to discuss your project right now. .. .
$250 USD in 4 days
5.0 (1 review)
4.0
4.0
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Hello, i have read the details provided..please contact me to discuss more on the project deadline and some other few things
$150 USD in 4 days
4.3 (5 reviews)
3.3
3.3
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Hello, I'm a Data Scintist/Software engineer that has experience working on projects about computer vision. I've worked on image classification, object detection, semantic segmentation and such, so I'll be able to do what you want. We can discuss more about the budget, deadline and your project specifications in chat!
$200 USD in 7 days
5.0 (1 review)
2.5
2.5
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----------- Senior Machine Learning (ML)/Coding/Tensorflow/Computer Vision/Deep Learning developer ----------- Thanks for your project. "HIGH QUALITY AND ON TIME IS MY FAVORITE MOTTO". Rich Machine Learning (ML)/Coding/Tensorflow/Computer Vision/Deep Learning developing experiences for 10+ years over. If given a chance, I am highly confident in my ability to deliver the highest quality. Best regards
$150 USD in 7 days
5.0 (1 review)
0.4
0.4

About the client

Flag of UNITED ARAB EMIRATES
Dubai, United Arab Emirates
5.0
2
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Member since Mar 17, 2019

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