develop a feature extraction algorithm using HB-KT and Face recognition using RSVM

В работе Опубликован 4 мес. назад Оплачивается при доставке
В работе Оплачивается при доставке

I am looking for a freelancer who can develop a feature extraction algorithm using Hybrid Block Overlapping KT Polynomials (HBKT) and Face recognition using RSVM which can work real time using webcamera. The purpose of this algorithm is to enable facial recognition. I prefer the algorithm to be programmed in Python. The project needs to be completed within a month.

Skills and experience required:

- Experience in developing feature extraction algorithms using HB-KT and Face recognition using RSVM

- Real time web camera working for face recognition with 95% or above accuracy

- Proficiency in Python programming language

- Knowledge of facial recognition technology and algorithms

Python Архитектура ПО Анализ и обработка данных Deep Learning Machine Learning (ML)

ID проекта: #36675190

О проекте

39 заявок(-ки) Удаленный проект Последняя активность 4 мес. назад

Поручен:

(2 отзывов(-а))
1.4

39 фрилансеров(-а) готовы выполнить эту работу в среднем за $212

umg536

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(45 отзывов(-а))
7.4
datascientist90

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(31 отзывов(-а))
6.6
simonklemp

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(19 отзывов(-а))
5.9
AmazingEngr76386

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(10 отзывов(-а))
5.5
merinsinha

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(95 отзывов(-а))
5.9
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5.0
dataspro

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(2 отзывов(-а))
4.6
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4.4
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(6 отзывов(-а))
3.4
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(16 отзывов(-а))
4.0
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2.4
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(2 отзывов(-а))
2.6
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2.2
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(1 отзыв)
0.8