We're looking at developing a machine learning algorithm (CNN) to assess whether the ID's that users upload are photoshopped.
We have developed an identity verification solution. It has several tests - the last one being a photoshop test. We have a manual review team that will do the first 1000-5000 images manually, which we will use as our input data into a convolutional neural network (CNN). Our goal is to test whether the images have been modified in any way, and to get a 95%+ success rate.
We're looking for a developer who has experience in CNNs, coding in Java.
We'll look to start the project in the third week of March.
Bu iş için 9 freelancer ortalamada $38/saat teklif veriyor
Hello, I am very interested in your job as machine learning & image processing engineer, who has 7+ years of research&development experience in speaker verification, face recognition/identification, song identificatio Daha Fazla
Hi, I will develop the RPA based image processing using the OCR technologies and Automation Anywhere RPA tool. I will customize the application
Hello, We have experience in deep learning for image classification and were recently awarded a bronze medal in the recently held Kaggle competition on Cassava leaf disease identification. I would be interested in kno Daha Fazla