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Detecting object(car and truck) in day and night , counting vehicles according to direction , detecting speed with YOLO-V3

I have 10 videos for night and day.

Detecting object(car and truck) in day and night, counting vehicles according to direction, detecting speed with YOLO-V3 and outputting with CSV file.

Now detecting is completed for night.

You have to prepare a training data set for day's env and integrate to weight file.

I will share more details in chat.

Skills: Keras, Neural Networks, OpenCV, Python, Tensorflow

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About the Employer:
( 30 reviews ) shenyang, China

Project ID: #19694773

6 freelancers are bidding on average $270 for this job

dilichan

Hi, I am an engineer specializing on computer vision and machine learning applications. I have years of experience working on production-level computer vision based applications such as smart surveillance, object det More

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codebid88nathan1

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a2017she

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wysohn

Dear whom it may concern: I can help you with the project. It looks like a pretty interesting project. I already have experience with YOLO-V2, yet I didn't know that there was an update. I will have some research my More

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nataliyapetelina

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