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Florence-2: The Best Small Vision Language Model - Capabilities and Demo

Offered By: Sam Witteveen via YouTube

Tags

Computer Vision Courses Artificial Intelligence Courses Image Captioning Courses Hugging Face Courses Vision-Language Models Courses

Course Description

Overview

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Explore the capabilities of Florence-2, a new Vision Language Model (VLM) with a dataset of 5 billion labels, in this informative video. Learn about its architecture and various functionalities, including detailed image captioning, visual grounding, dense region captioning, and open vocabulary detection. Watch demonstrations of the model's performance using Hugging Face Spaces and examine sample usage in a Colab notebook. Gain insights into how Florence-2 combines traditional computer vision tasks with modern LLM-style captioning, potentially revolutionizing the field of visual AI.

Syllabus

Intro
Florence-2 Paper
Florence - 2 Architecture
Florence - 2 Detailed Image Captioning
Florence - 2 Visual Grounding
Florence - 2 Dense Region Caption
Florence - 2 Open Vocab Detection
Hugging Face Spaces Demo
Colab Florence - 2 Large Sample Usage


Taught by

Sam Witteveen

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