image classification : food quality evaluation with CNN algorithmes

$35-50 USD

In Progress

Posted

almost 4 years ago

$35-50 USD

Paid on delivery

Use CNN algorithm for image classification Put in competition three architecture and choose the best one justifying your choice (VGG 16 , ResNet-50 , Inception) Describe the features of the best algorithm (why the algorithm is the best one ?) You are requested to deliver notebook of this study. Requested language : Python .

Python

Machine Learning (ML)

Deep Learning

Neural Networks

Image Processing

Project ID: 25703257

About the project

3 proposals

Remote project

Active 4 yrs ago

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3 freelancers are bidding on average $43 USD for this job

@chernyayevvanya6

✅ Language : ----- C++, C#, VB, Python, Qt, Matlab, Java----- ✅ Skill : Machine learning, Deep learning Image processing(OpenCV, OpenGL...) Video codec processing(H264/265, ffmpeg, Mpeg4, YUY2...) MetaTrading, WebScrapping Database(MySQL, Access, Excel, MSSQL...) ✅ Platform : Windows, Mac, Ubuntu

$43 USD in 7 days

5.0

(7 reviews)

3.9

@sarialperen

Hi, I'm an MSc student working on computer vision and deep learning over 3 years. I have plenty of experience in classification using encoder networks such as VGG, Resnet, or Inception. That's why I believe that I can solve your problem in a short amount of time.

$35 USD in 4 days

5.0

(3 reviews)

1.4

@engrilyasraza128

i am research scholar in field of Robotics i have expertise in the machine learning and computer vision, i can assist you in this project feel free to contact me

$50 USD in 2 days