Python Face Recognition

Hi Dear I read your requirements carefully. I have much experience with Python,ML with Keras, OpenCV, Tensorflow, design software architecture and so on. You can see my good reviews for Python projects. Please touch me. I will provide good service for you. Regards.

Hi! I am an expert in Computer Vision and Machine learning python stack, sickit-learn, numpy,pandas,matplotlib, OpenCv and tensorflow. I already have a custom facial recognition built. I did my bachelors with majors in Computer Vision and Deep Learning. I am dedicated and passionate, and will do a perfect job. I would love to work for you. I hope you will consider me for this project. Regards, Asad

Experienced in Python, will deliver relatively quickly, also have a lot of experience in video

Hello Theresa, I've been working with Python programming for last 4 years and having good enough knowledge to build an effective project

Hello, I would be able to complete your work free of cost. Contact me for further details. Thank you.

Hello, As a fresh graduate data scientist, I am motivated to deliver my first project to a well-recommended employer like yourself. I want to be honest, I did not do this kind image processing project before. But I used R and Python for my educational and professional projects in different contexts. But I can say this confidently, I am looking forward to do this job for you. As a data analyst/scientist at the beginning of my long road towards being a master of analytics, I will be working with joy and excitement, if I will be your choice for the job. Sincerely, Doğanay

Hi, I have 2 years of experience in computer vision using deep learning area and have done some very good projects in this domain. Currently I work as a machine learning engineer and I have very good knowledge and experience in face recognition and detection area as I have done some projects(Video surveillance in wild conditions and 3D face recognition,face aging etc.) in this domain which yielded very good results with very low response time (i.e each one to one response gets compared in 0.03 secs) and state of the art accuracy.