Detect Ingredients present in Food Items using an ML Model

hello sir , I am a machine learning engineer having 5+ years of experience . I have done many projects on image classification either in agriculture sector or in medical sectors. I have used many framework for object detection like pytorch,mxnet , tensor flow ,keras , caffe . some of my projects are identification of different types of notes object detection using YOLO or RCNN custom object detection brain hemorrhage subtypes detection I hope you will like my profile . PLEASE email me for more details where we can discuss the project in deep. And I am pretty sure that you will get best results ever.

We are a team of Data Scientists comprising of IIT graduates and Statisticians Our area of Expertise: -Statistical Modeling and Machine Learning o Regression (Linear, Logistic, Multiple, GLM) o Cluster Analysis, Decision Trees, Regression o Classification (Naive Bayes, SVM, SVC, Decision trees, Ensemble - Random forests, Gradient Boosting) o K Means/ hierarchical/DBSCAN/Agglomerative -Deep Learning o Programming Languages: Python, R o Libraries: Tensorflow, Keras, OpenCV o Models: RetinaNet50, ResNet, YOLOv3, CNN, R-CNN, MASK-RCNN o Projects: Object Recognition and Dimension Enumeration in Aerial Images - Data Mining o Scrapy, Requests, BeautifulSoup and Selenium o Web scrapping using APIs -Database and Data Warehousing MongoDB, SQL, Cassandra, Oracle We will be happy to work with you on this project. We can discuss further details. Looking forward to hearing from you soon. Thanks.

Hello, food recognition still an open question in the research area of computer vision. There no strong evidence that any model will work with very high accuracy. But with the recent cutting edge work in this domain and with the help to strategies such as diffusion and pseudo labeling, it's to build interesting models for food recognition. Looking forward to hearing from you.

Hi sir, I have been working in AI, Ml feild for 3 years now. I have done some virutal intern in which I used AWS ec2 system. I have done some projects like real time face and emotion recognition, traffic sighn recognition and currently I am working on visual sailency for autonomous car driving. I guess I have all the skillset required for this project.

I am a machine learning / deep learning expert, working as a junior Deep Learning researcher at the Hungarian Academy of Sciences. I have skimmed through the article you linked, and I understand perfectly how the model should be trained and how it should work. I'm sure I can replicate the model in the study, and tailor it to your requirements. I am experienced with Amazon AWS, I have used it for training and prediction before, and I have servers set up right now. I have rich experience in computer vision, using CNNs, for both practival and research purposes. I can accomplish the task of image classification using Python and TensorFlow/Keras, with a deep convolutional model using feature recognition with state-of-the-art models (ResNet / VGG19), and optimizing layers for the specific task based on examples. If there aren't enough labelled examples for good accuracy, I can use augmentation, and/or gather data of similar examples from the internet. I have my own high-end GPU server for training, so I can train the network for a long time to reach optimal performance without extra charge. If you have any questions, please ping me on chat.