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Image recognition project for Song.T

$30-250 USD

In Progress
Posted about 5 years ago

$30-250 USD

Paid on delivery
I need a recognize a face in many images. The target face image is the largest and the most clear one. And I want to find the target image by using the MASK RCNN algorithm. I want the result with high accuracy and shortly.
Project ID: 18611418

About the project

3 proposals
Remote project
Active 5 yrs ago

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3 freelancers are bidding on average $173 USD for this job
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I have extensive experience in the domains of Natural Language Processing, Image Recognition & Artificial Intelligence'Trim,Recommender Systems,Machine learning,Data Minning, Deep Learning, Computer Vision, and Reinforcement Learning. While working in the domains mentioned above, I have worked used frameworks like TensorFlow, Scikit-learn, PyTorch,STP and UDP, Caffe2, OpenCV, Keras, matplotlib, seaborn, fastai, Pycharm,NILM algorithms etc) I am also very familiar with classification and clustering algorithms such as SVM,FHMM, Combinatorial Optimization, HART 85 Algorithm, Maximum Likelihood Estimation, KNN, LDA, Fuzzy classification I’m honest, creative and a unique person to carry out your tasks given to me. Leaving your project on our hand is a privileged; we'll make sure that the project is done in a perfect way and do our best until you satisfied. I would love to discuss this project with you and meet your exact requirements. I am confident I can provide you with top notch materials that will fit your needs. I'm proud my work on being professional, of the highest quality and always delivered on time. you can hire me directly through this link https://www.freelancer.com/u/olaideejiwole
$30 USD in 1 day
5.0 (14 reviews)
4.8
4.8
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https://www.freelancer.com/projects/Python/Qualitative-Comparative-Study-Face-13933384/ https://www.freelancer.com/projects/php/Write-some-Software-14675184/ lets chat
$333 USD in 3 days
4.8 (4 reviews)
3.9
3.9

About the client

Flag of RUSSIAN FEDERATION
Arsenyev, Russian Federation
5.0
3
Member since Dec 11, 2018

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