Run 3 Deepl models within 7 days on grocery dataset using python
₹5000-7000 INR
Cerrado
Publicado hace más de 2 años
₹5000-7000 INR
Pagado a la entrega
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
[login to view URL]
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 have PhD from Tohoku University and have several journal publications on the subjects. You can see portfolio for my previous projects.
I read about your project and am interested in working with you. Please send me a message so that we can discuss more.
Best regards.
Hello there!
I'm a Mechatronics Engineer with several experience programming Neural Network. I invite you yo my portfolio to see some of them and to my profile to see my certifications of Python and Tensorflow with the University of Michigan and the Imperial College London. Actually I already worked with a very similar dataset with great results (more than 90% of accuracy). If you are interested just chat me!!
Hello !!
I have checked your project and highly interested in your project.
I am an expert full stack computer programmer with skills including Python, Statistical Analysis, Statistics, Machine Learning (ML) and Deep Learning(DL).
I have worked with CNNs and transfer learning methods for better accuracy. I have also published 2 research paper on application of CNNs in international conference.
I have done several complex projects. My attitude towards work has always been to provide reliable and efficient to my clients and so far I have been quite successful. I won't delay your project and will keep you updated with constant feedback and status of the work.