machine learning for image classification project

Concluído Postado 1 ano atrás Pago na entrega
Concluído Pago na entrega

There are approximately 1700 “X” pictures and 700 “Y” pictures.

The goal is to enter a new picture to the computer, in Python and he will be able to tell us if it is a “X” or “Y” pictures. The desired rate of success for identification is above 95%.

The Python program should support both MAC M1 (support for its neural engine) and windows PC.

I know I don’t have enough “Y” pictures, but for the sake of work you can train 1500 “X” pics and 500 “Y” pics and then input the remaining 200 of each to the neural network, to test the results (How it handles new pictures)

There is a must to use Python language, with known and trusted frameworks: TensorFlow, Pytorch, Keras, Numpy etc.

At the end I will get the code, and FULL explanation how the model was trained, how to improve it, the tools that were used and the results.

Python Machine Learning (ML) Arquitetura de software Deep Learning Image Processing

ID do Projeto: #34901392

Sobre o projeto

40 propostas Projeto remoto Ativo em 1 ano atrás

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tadinhkien

Greetings! How are you today? Thanks for posting this job. I have checked your project description. ✅I'm AI engineer also Developer with 6+ years experiment.✅ I am very familiar to Deep learning such as Tensorflow an Mais

$250 USD em 1 dia
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6.1

40 freelancers estão ofertando em média $476 nesse trabalho

schoudhary1553

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7.3
ExpertSoul

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7.0
Armmasud

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6.0
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6.0
mykhailodew

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5.8
hnutweblera

Hello there. I have good experience with python and ML/DL programming. So can help your project. Hope more discuss with you. Regards.

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5.7
ayesha0124

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5.2
karlmarkus609

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AmazingEngr76386

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pyanskiy

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rashidamjad

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sybacdesigner

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4.4
anenkovakateryna

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4.5
hamdi619

Hello, I can solve your classifaction problem as well as your data imbalance problem since you don't have many "Y" images. Being a data and software engineer with a master's of engineering degree in the field, I'm flu Mais

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4.7
FxDataLabs

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mamawindy102

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3.8
avinashdubeyg209

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4.1
aleenaalikhan95

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ringku740

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3.4