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Zero-Shot Image Classification with OpenAI's CLIP Model

Offered By: 1littlecoder via YouTube

Tags

Computer Vision Courses Machine Learning Courses Image Classification Courses ImageNet Courses OpenAI Courses

Course Description

Overview

Explore zero-shot image classification using OpenAI's CLIP (Contrastive Language-Image Pre-Training) model in this 21-minute machine learning tutorial. Witness a live demonstration of CLIP's capabilities, which allow it to predict relevant text snippets for given images using natural language instructions, without direct task optimization. Learn how CLIP matches ResNet50's performance on ImageNet zero-shot tasks without using labeled examples. Discover the model's potential to overcome major computer vision challenges. Access resources including OpenAI's blog post on CLIP, the GitHub repository, a Google Colab notebook for hands-on practice, and a related video on zero-shot text classification using Hugging Face.

Syllabus

Zero-Shot Image Classification with Open AI's CLIP Model - GPT-3 for Images


Taught by

1littlecoder

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