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Run 3 Deepl models within 7 days on grocery dataset using python

There are different categories of food products. This project identifies the image and then classifies it into a particular category.

In the current CNN model, the products with white or plain packaging are misclassified as flour. This must be rectified.

Optimize CNN:

1. balancing, feature selection

2. Optimize the existing CNN model to increase the prediction rate

Run these models:

3. Detectron2 model

4. Optical character recognition model

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Skills: Python, Machine Learning (ML), Deep Learning

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About the Employer:
( 1 review ) Bangalore, Germany

Project ID: #31603678

5 freelancers are bidding on average ₹8900 for this job

(71 Reviews)
7.1
sajjadtaghvaeifr

Hi, I hope you are doing fine. I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python and etc. I hav More

₹12500 INR in 7 days
(12 Reviews)
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josedprati

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₹5000 INR in 7 days
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Abhishek00077

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