Feature matching using machine learning

Dear sir. Your project attracted my attention at first glance, because I've extensive experience in Feature Matching Programming. I'm really confident about your project, and very eager to join your project. If we have a chance to cooperate, I'll do my best to provide wonderful result. Looking forward to your response. Best Regards.

Hi, I am working as an ML Developer and have worked on the different king of ML and ANN projects in the field of Medical Imaging, Automotive, Object detection/classification, etc. Tools/API: OpenCV, sci-kit, LibSVM, TensorFlow, Keras, darknet .. Please share your detailed requirement based on which we can decide the amount and time. Thanks

Hi I can make the system for feature matching for parents and children in python as per your requirement. For this project the first part is to extract feature form the image. (Please let me know more about which features you want to detect) I can extract the facial features like eyes, nose , leaps etc and train the system accordingly. (but if you need some special feature that will be an extra work) 2nd step is to create the data set for training and testing. 3rd step is to write algorithm for training and testing and using the algorithms to train. For this kind of training good no of image sets of parent-children will be required. The system will generate a probability score whether the given images are of parent- children or not. For more details please send me a message in chat. Thank you.

We are a start-up in India that have experience in machine learning, deep learning, chat bot development, website and app development. We are well equipped to solve your problem. We can train a deep learning model and provide the python code for inference. We have experience in face detection, face recognition, image tagging, image classification etc. Problem Statement: Given two images of parent and child, find the similarity between parent and child. Our approach: 1) Detect and get face of a person from an image using face recognition library (deep learning based library). Input image should have only one face of a person. 2) Get feature vector representing the face using face recognition library (deep learning based) 3) Using these feature vectors of parent and child, build a classifier. The classification score gives whether the parent and child are related. The classifier will be built and validated using data downloaded from internet that has father-son, father-daughter, mother-son, mother-daughter image pairs. Since, the amount of available data is only a few hundred images, deep learning based classifier is not recommended, we will develop the classifier using lightgbm or xgboost package. The classifier score will be considered as percentage matching between parent and child. 4) Develop a Python code for inference. Given two images, python code will output the classifier score. Please contact us, if you have any queries.

working as a boot camp trainee at Bayes labs under an IITian for research based programming and have knowledge of scientific python.

I can develop the model to do feature extracting and matching using Deep Learning and in python or c++ if necessary.

Having expertise in image processing, computer vision, machine learning etc. Can work on the project.

Hello! My name is Alyona. I am representative of a company, which can successfully execute different projects in IT sphere, connected with machine learning, deep learning, artificial intelligence, neural networks, robotics. We are interested in taking part in this tender and can guarantee high standards. Our staff members have solid skills to work with variety of projects, play an integral role in serving Communications, Media, and Technology clients. If it can be interesting for you, please, give feedback and all necessary instructions. I will send applicants` CVs, if necessarily. Thanks in advance. I am looking forward to your response.