Occluded Face Recognition

I am Machine Learning, Deep Learning, Computer Vision expert and working in these fields from the past 3 years. The major field in which I have worked including: Deep Learning Machine Learning, Digital Image Processing, Computer Vision, Neural Networks. The main tools that I have used for implementation is: MATLAB Python OpenCV TensorFlow Caffe DIGITS. I can implement neural networks like ANNs, CNNs, LSTMs/RNNs, GANs, and different other models like autoencoders in tensorflow, keras and tflearn. I can also implement ML algorithms like linear/logistic regression, SVM, Random Forest etc in scikit-learn. For any research/thesis related purposes I can make new models of your cool ideas from the scratch. I can provide latex format reports for all the methodology used in the algorithm if required. Thanks

Hey there. I’m interested in working on your project on face recognition. I’m experienced in this aspect of biometric recognition.

I will use CNN to improve performance of system. Relevant Skills and Experience I have already worked on this project.

I have already Worked on Inception V3, SSD-Mobilenet, SSD-Inception built-in Modelling. OpenCV(Canny Edge and Auto canny, Clahe, various type of Morphological operation like Erosion , Dilation , Medium blurr for feature extraction in image). AWS Machine Learning Platform(Face Analysis, Face Recognition, Lex-Chatbot, Comprehend, Polly Speaker) Computer Vision(Face Recognition, Live object Detection using built-in SSD Model) Self-Driving Car by making use of Deep-Q Learning & Reinforcement Learning. NLP models(chunking, sentiment Analyzer, text-to-speech Recognition, dumb chatbot). Vehicle Number plate detection with opencv & neural network Chatbot for updating Excel sheet. Chatbot interface for natural language to SQL Query generation. Question-Answer pair generation from text using LSTM & Seq2Seq. We can initiate chat for further clarifications. thanks

Hi.. I am working in TBI. I am expert in machine learning, tensorflow and python. All my projects are all in tensorflow object detection. I will be sharing my project works if you contact me. I'll list out all the projects. Weed and crop detection using tensorflow object detection. Here I've used Faster Rcnn model for training and I could able to complete within one day If I have all necessary datasets. I successfully able to detect weed in a crop with more accuracy. Second, Density based traffic control system where all the vehicles trained using same model from which count of vehicles are used for making decision. And many other Hand gesture control and Counting no of people in bus which is similar to face detection. So I think you I may complete your prohect within 3 days if I have proper dataset and everything. I am excited to do this project. Waiting for your response. Thanking you

I have hands-on experience on neural networks based projects due to projects (that I have worked on) like visual question answering which includes convolution networks and LSTMs, Rule extractions from Neural Networks, etc. Having worked on the above projects I can deliver you a quality product within a week.