dataset creation using image dataset and then labelling it and training and testing prediction accuracy validation svm and random forest

sir i can help u with this project i have done masters in computer engg with specilization in image processing and pattern recognition this is a dummy bid i can give u an exact estimate after we discuss the project hopping for your kind consideration

I am an expert in data mining and predictive modeling. I have a PhD in Physics and I have extensive experience in machine learning applications, statistics and software development (web, mobile, desktop, SaaS). I work with R, Python, Spark, SQL, noSQL, Hadoop, .NET, Java, Angular JS, Quantopian, C#, and Tableau. I can do it in R

Hello As much as I understood you need a classifier based on SVM or Random Forest to classify from a set of images between two sets. That is quite general requirement more information is needed to elaborate what model can be used or other things. Image computing problems vary from feature extraction to classification so are the algorithms associated with it which go from edge detection to Convolutional Neural Networks. I have worked on range of such projects. There are a few face recognition projects in my history which is also image problem. So, let me know how can I help you Feel free to message me here if you have any inquiry Thanks Man

Hi, I have read and understood the project description and possess the skills required to meet your needs. Please give me a chance and reply. A trial will convince you. Thanks.

A proposal has not yet been provided

I can do this project for you. I have experience in Machine Learning, including RF and SVM. As I do not have any ratings, I offer you this for a low price. Notice I will do the programming in R and or C# (not Matlab).

I have a vast experience in matlab as my thesis was based in PSO. I have also carried out projects on SVM, C4.5 and neural networks. I will deliver your work with maximum satisfaction and low cost.

- have a experience on related subject -good knowledge and understand of SVM - currently working on classification project on MIT arrhythmia dataset - interested and motivated on the project