Computer Vision Expert for automatic data labelling nedeed
Paiement à la livraison
The idea is to pass plain images (with no extra information) via SAM (segment anything from META) model to get masks of objects at the image.
Secondly we pass each object with created mask separately to some image to text model like CLIP.
Finally we compare CLIP results with one of categories we have (text comparison). If we get a match we save it with that label. All in compatible format to [login to view URL]
Output should be saved in exactly the same format. One image will have many masks and labels on it.
All must be done and work Google Colabolatory.
Nº du projet : #37231940
À propos du projet
Hello. I read your description carefully. As Machine learning engineer and Python/Full stack developer with 6+ years experience, I am very interested in your project and am sure that I can make perfect result than othe Plus
Hello, I am very familiar with the requirements of your projects, and I can complete them quickly. Let's connect over chat to discuss this further Thanks
Executive Summary: The objective of this project is to develop a system that takes plain images and segments them into object masks using the SAM (Segment Anything from META) model. Each segmented object is then passed Plus
Hi, I hope you have a good day. I have almost three years of experience in the industry while working with machine learning and deep learning algorithms. I did a lot of projects during these years. Let me rephrase you Plus