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Convert Yolo V3 Tensor Flow model To Movidius model with same accuracy

$30-250 SGD

Closed
Posted over 3 years ago

$30-250 SGD

Paid on delivery
We trained the Yolo V3 model using Keras in Colab and came up with the tensorflow pb file. We want to run it on Intel movidius. We need you help to convert the tensorflow yolo v3 model with the same accuracy and run on movidius.
Project ID: 27832957

About the project

4 proposals
Remote project
Active 3 yrs ago

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4 freelancers are bidding on average $108 SGD for this job
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Greetings, I an an Elite Python programmer along with a decent experience in Machine learning & Artificial intelligence. I have got the potential to deliver you a remarkable assistance. Many clients were already profited with my services. So I can assure that the result will be promising. Consider me once and you will be delighted with my acquaintance. I really appreciate your time. Looking forward to your positive response Best regards
$90 SGD in 7 days
5.0 (9 reviews)
4.4
4.4
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Hi, I hope you are doing fine. I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python, JAVA and etc. I have PhD from Tohoku University and have several journal publications on the subjects. You can see portfolio for my previous projects. I read about your project and am interested in working with you. Please send me a message so that we can discuss more. Best regards.
$30 SGD in 7 days
5.0 (4 reviews)
2.7
2.7
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Hello. How are you today? I have read your project description clearly. I have developed projects Python Machine Learning (ML) Artificial Intelligence and have 8 years experience. I want to work with you for a long time. Thank you very much.
$230 SGD in 7 days
0.0 (0 reviews)
0.0
0.0
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Excellent in deep learning algorithms using keras python , experience in classifications tasks and with low price
$80 SGD in 5 days
0.0 (0 reviews)
0.0
0.0

About the client

Flag of SINGAPORE
Singapore, Singapore
5.0
42
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Member since Jan 10, 2016

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