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CLIP, T-SNE, and UMAP - Master Image Embeddings and Vector Analysis

Roboflow via YouTube

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Overview

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This beginner-level course demonstrates image clustering and duplicate detection using pixel brightness and OpenAI CLIP embeddings. It compares t-SNE and UMAP and uses a Google Colab notebook for the analysis.

Syllabus

Introduction
Python Environment Setup
Clustering MNIST images using pixel brightness
T-SNE vs. UMAP
Clustering images using OpenAI CLIP embeddings
: Using OpenAI CLIP embeddings to detect duplicates or close duplicates
Conclusions

Taught by

Roboflow

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