Hello trend,
This is Satya Mallick from LearnOpenCV.com.
Foundation models in Artificial Intelligence are becoming increasingly important. They are defined as Large AI Models trained on vast amounts of data in a way that can be adapted to a wide range of tasks.
Early examples of foundation models are Large Language Models (LLMs) like GPT and BERT. Subsequently, the industry has seen the same ideas applied to arrive at multimodal foundation models like DALLE, CLIP, etc.
Segment Anything is a project by Meta AI to build a starting point for foundation models for image segmentation. It has two important components:
- A large dataset for image segmentation
- The Segment Anything Model (SAM) as a promptable foundation model for image segmentation
In today's article, we will understand the most essential components of the Segment Anything project, including the dataset and the model. So without further ado, let's jump into the post
Segment Anything Model and Dataset for Image Segmentation |
Accompanying code for the blog post can be found here:
Download Code |
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Cheers,
Satya
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