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.
Overview
Syllabus
I compared 3 AI Image Caption Models - GIT vs BLIP vs ViT+GPT2 - Image-to-Text Models
Taught by
1littlecoder
