YoVDO

Comparing AI Image Caption Models: GIT, BLIP, and ViT+GPT2

Offered By: 1littlecoder via YouTube

Tags

Computer Vision Courses Machine Learning Courses Deep Learning Courses Image Analysis Courses Multimodal AI Courses

Course Description

Overview

Explore a comparative analysis of three cutting-edge AI image caption models: GIT (Generative Image-to-text Transformer), BLIP (Bootstrapping Language-Image Pre-training), and ViT+GPT2. Examine the performance of these state-of-the-art vision+language models across 10 diverse images. Gain insights into the capabilities of each model for unified vision-language understanding and generation. Learn about the Gradio Demo by Niels Rogge, available on Hugging Face, which facilitates easy comparison of these captioning models.

Syllabus

I compared 3 AI Image Caption Models - GIT vs BLIP vs ViT+GPT2 - Image-to-Text Models


Taught by

1littlecoder

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity
Natural Language Processing
Columbia University via Coursera
Probabilistic Graphical Models 1: Representation
Stanford University via Coursera
Computer Vision: The Fundamentals
University of California, Berkeley via Coursera
Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent