Face detection and landmarking with SSD (Single Shot Multi Detection) in Tensorflow

Hello sir. As a machine learning and computer vision expert, I'm glad to see your project. If you check my profile, you can see I have deep knowledge in computer vision and deep learning algorithms. I also have good skills of python and tensorflow with opencv. If you give me your project, I think I can help you well with your project. I'm ready for your project and can start soon. I will wait for you with your good news. Regards

Hello, there I am very happy to put my bid on your project. I am an expert of face detection and recognition and senior python developer, so I am interested in and confident to do this project. I hope to discuss everything of the project in detail with you and work on this project with you. Regards.

Hello! I am a python developer. I looked at your project and it seems interesting. I am expert in tensorflow, object detection, object tracking, face recognization, image classification, and have all necessary skills required for this project. Ping me to discuss in detail.

Hi, there! I am interested in your project. I have extensive experience in face detection and facial landmark detection using Python, OpenCV and Tensorflow Faster R-CNN, Mask R-CNN, YOLO, SSD Inception and SSD Mobilenet. As a developer with rich experience, I am confident about your project. I will provide perfect results in a short time. If you want to work with me, please feel free to contact me. Thanks.

Hello, I can do your project 100%. I can do this project. I am working on many field wireless technologies such as Cognitive radio, WSN, MANET, VANET, Ad-Hoc networks, LTE, Standard Protocol, wireless sensor network, routing protocol and many more. I am a certified professional of CISCO, OPNET, MATLAB and NS2 simulator. I am expert in Network Simulator (NS2/3), LTESIM, LABVIEW, Oment++ and OPNET. I have done no of the project on Network Simulator (NS2/3), LTESIM, Oment++, OPNET, PYTHON, and OPENCV. I have done many projects based on Image Processing, Speech & Pattern reorganization, Signal Processing, wireless sensor network, routing protocol, electrical & electronics engineering, communication system and implement mathematical Algorithm in C/C++ and Matlab language. I am expert in FPGA, VHDL, and Verilog in system programming as well as antenna design, antenna simulation on the ANSYS HFSS, CST.

hello,how are you. i read your bid carefully. i am face detection expert and have full experience for 10 years. c/c++, opencv is my top skill and i can build your project by using that skills. i can provide most quality and high speed. if you want to success, please contact me. Then, I will give you good result to the proposals. hire me.

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I have worked on many deep learning projects using tensorflow, keras, caffe,etc before. I am an expert in hyperparameter tuning and can get decent levels of accuracies. I have no rating because I am new to this platform and used to work at upwork. I take my projects seriously and deliver them on time. So feel free to contact. I will be able to work at full-stretch on weekends. Thank You

Hi There, My name is Sam and i am located in Sydney Australia. I lead a team of Machine Learning experts who can deliver this job within 14 days time. We have delivered similar projects in past using Tensorflow only. I have read your requirement and i assure you the quality as good as your expectation. Below is high level strategy of how we are going to build it - For facial landmark detection we can follow below high level procedure : (1) dataset : we need to have data such a way that in target variable we will be having location information of each facial landmarks for that image/data. (2) Deep learning model design using tensorflow : we will be designing CNN architecture based neural network using maxpooling,drop out ,and other hyper parameters as different optimization techniques. (3) Training : In this phase we train the design model in such a way that it learn the landmarks point by minimising the regression loses on the facial landmark location on target variable. (4) Facial landmark detection : Post training it could be used for getting facial landmark on unseen image data. Once we achieve this we can perform further steps to locate face as well Looking forward to hear from you. Thanks