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Gurami

Meta AI Introduces Revolutionary Image Segmentation Model Trained on 1 Billion Masks | by Gurami Keretchashvili | Apr, 2023

Segment Anything - Best DL Model for Image Segmentation.After revolutionary step made by OpenAI’s ChatGPT in NLP, AI progression continues and Meta AI introduces astonishing progress in computer vision. Meta AI research team introduced the model called Segment Anything Model (SAM) and a dataset of 1 Billion masks on 11 Million images. Segmentation of an image is identifying which image pixels belong to an object.Demo of image segmentation by ai.facebook.comThe proposed project mainly includes three pillars: Task, Model…

How to Deploy Machine Learning models? End-to-End Dog Breed Identification Project! | by Gurami Keretchashvili | Apr, 2023

Simplest way to deploy your ML model on the web.In this article I will discuss step-by-step tutorial about the easiest and fastest way to deploy your ML project on the web using Streamlit. The project is about dog breed identification, which classifies a dog out of 120 types of breeds. I will focus more on the deployment part of the project, rather than building a complex machine learning model.Before discussing any further, let’s see the demo of the project below:Deployment Demo (gif by the author)You can play with the…

How to Convince Your Boss to Trust Your ML/DL Models | by Gurami Keretchashvili | Sep, 2022

Machine learning model interpretability using LIME, or how to explain why a model made a specific predictionAccuracy vs Explainability (Image by author)IntroductionSome company managers or stakeholders are pessimistic about machine learning model predictions. Therefore, it is data scientists’ reasonability to convince them that the model prediction is credible and also understandable to humans. Therefore, we need to focus not only on creating powerful machine learning/deep learning models, but also make the models…