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

Roboflow · Beginner ·📰 AI News & Updates ·2y ago
Description: Start your Data Science and Computer Vision adventure with this comprehensive Image Embedding and Vector Analysis guide. Explore OpenAI CLIP embeddings for image clustering and duplicate detection, and learn essential concepts like T-SNE, UMAP, and MNIST. Follow our beginner-friendly Google Colab notebook to master the basics and kickstart your journey in Computer Vision! Chapters: 00:00 Introduction 01:23 Python Environment Setup 01:58 Clustering MNIST images using pixel brightness 09:00 T-SNE vs. UMAP 10:40 Clustering images using OpenAI CLIP embeddings 17:22: Using OpenAI CL…
Watch on YouTube ↗ (saves to browser)

Chapters (6)

Introduction
1:23 Python Environment Setup
1:58 Clustering MNIST images using pixel brightness
9:00 T-SNE vs. UMAP
10:40 Clustering images using OpenAI CLIP embeddings
20:05 Conclusions

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