Tune YOLO v3 architecture for object detection

Cancellato Pubblicato 5 anni fa Pagato alla consegna
Cancellato Pagato alla consegna

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.

Machine Learning (ML) OpenCV Python

Rif. progetto: #17903258

Info sul progetto

6 proposte Progetto a distanza Attivo 5 anni fa

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uzairrzahid

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 Altro

$200 USD in 5 giorni
(53 valutazioni)
5.9

6 freelance hanno fatto un'offerta media di $182 per questo lavoro

DarkKnight2206

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.

$140 USD in 2 giorni
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5.5
psdhillon

I have been working as data scientist for more than 4 years during which i implemented numerous machine learning algorithms to solve varied business problems. Moreover, to gain other domain expertise, i have been activ Altro

$350 USD in 7 giorni
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2.2
sergiobulhakov

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 Altro

$155 USD in 3 giorni
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Pratik15011996

I have already done one project in machine learning and deep learning car logo recognition. Give me a chance I will give my better .

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