GENERATIVE Adversarial networks , MACHINE LEARNING CODE FOR IMAGE PROCESSING

Hi, We at Tecogno Solutions are a team of Passionate Data Science and Full Stack professionals having more than five years of combined experience in multiple areas including Backend, Frontend, Machine learning (ML), Computer vision(CV) and Artificial Intelligence (AI). We have a strong command over Python, Flask, Django, OpenCV, Google Vision API, Tesseract, Spacy, PHP, MySQL, Software architecture, Tensorflow, Spacy, Twilio, Node.js, RESTful API, NLP, CNN, AWS, GCP, Google API's etc. Thus we are capable of fulfilling your requirements for the required image processing task. For further information please refer to our Profile or visit our website. Thanks!

Hi, Greetings for the day! We are a team of passionate Machine Learning Engineers based in Mumbai, India, who have developed and deployed complex AI solutions using Machine Learning and Computer Vision. We have a good experience of building training and deploying State Of The Art Machine Learning/Deep Learning models. We have built and deployed several Object Detection and Classification models in the past. We have also worked with Object Tracking, Edge and Cloud Deployment, Image Processing and Data Analytics. We strongly believe that our experience and relevant skills make us the perfect candidate for your requirements. We would love to know more about your requirements: data needed for training the model, preferred ML and DL algorithms (if any), model architectures, etc. Some of our projects include Face Mask Detection, Social Distancing Monitoring, Industrial Machinery Defect Detection, Industrial Safety Kit Detection, Root Cause Analysis and more. Please checkout our AI/ML portfolio - freelancer.in/u/iPingDataLabsLLP Our AI/ML tech-stack includes Python, Tensorflow, PyTorch, Keras, OpenCV, GCP, AWS, FastAPI, Flask, Django and more. We have relevant and significant experience in Keras, TensorFlow, and OpenCV. We approach every client with the intent of a long term relationship! Can we connect over chat and discuss the plan of action? Regards, iPing Data Labs