Tune YOLO v3 architecture for object detection
$30-250 USD
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As part of a larger system we need to detect and count small objects in close proximity using machine vision. We are having partial success using the YOLO v3 deep learning framework but need help to configure the architecture and tune the parameters to improve performance. We have datasets, test images, etc, and can provide all that to you. We're using Python and OpenCV. You need to be familiar with YOLO and able to advise us to adjust things like anchor boxes, grid size, etc, and understand its impact on detection performance.
项目ID： #17903258
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Hi. My name is Uzair.I did my masters in Electrical Engineering. I have done my thesis in biomedical signal processing and Machine learning. I have more than 3 years of experience in Python/MATLAB specially in Machin 更多
有6名威客正在参与此工作的竞标，均价$182/小时
Hello! I am a python developer. I looked at your project and it seems interesting. I have all necessary skills required for this project. Ping me to discuss in detail.
Hello I have read the requirements of your project with very carefully and i am interested I have rich experience of developing web and mobile app developments If you give me opportunity, I will do my best for 更多
I have already done one project in machine learning and deep learning car logo recognition. Give me a chance I will give my better .
