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.
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]
5 freelances font une offre moyenne de 8900 ₹ pour ce travail
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 Plus
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 th Plus
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 L Plus