Deep Learning by training a data set for real time video inference

Detect some specific objects over video. The goal is to traian my own dataset based on real pictures.

You must use Tensorflow and Opencv as base source code and test the next models:

1. SSD

2. Faster RCNN

3. Yolo v2

The results has to be demostrated by comparing mAP and FPS for the validation data set.

Skills: OpenCV, Python

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About the Employer:
( 7 reviews ) Vina del Mar, Chile

Project ID: #16836267

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Hi Thank you for your new opened job. If we work together, I am very happy. Looking to be done. Regards.

$911 USD in 7 days
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4 freelancers are bidding on average $1193 for this job


Hello there, my name is Daniel and I would love to help you out with this project. I have a lot of experience in AI, including several image recognition problems. I am also skilled in Tensorflow so I honestly think I a More

$1250 USD in 20 days
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Hello, I am interested in your job post "Deep Learning by training a data set for real time video inference" Do you have 10 minute for quickly discussion ?

$1500 USD in 20 days
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Hi, I am here! I worked in Deep Learning with Textual data mostly because I was chatbot maker. I have complete the Deep Learning specialization as well. Last time I worked on Robotics with Re-inforcement learning usin More

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