CLIP, T-SNE, and UMAP - Master Image Embeddings & Vector Analysis скачать в хорошем качестве

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

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 CLIP embeddings to detect duplicates or close duplicates 20:05 Conclusions Resources: 🌏 Roboflow: https://roboflow.com 🌌 Roboflow Universe: https://universe.roboflow.com 📓 "Image Embeddings Analysis notebook": https://colab.research.google.com/git... 📚 "What is OpenAI's CLIP and how to use it?" blog post: https://blog.roboflow.com/openai-clip 🎬 "CLIP: OpenAI's amazing new zero-shot image classifier" video:    • CLIP: OpenAI's amazing new zero-shot ...   Stay updated with the projects I'm working on at https://github.com/roboflow and https://github.com/SkalskiP! ⭐ Don't forget to like, comment, and subscribe for more content on AI, computer vision, and the latest technological breakthroughs! 🚀 ComputerVision #DataScience #ImageEmbeddings #OpenAICLIP #TSNE #UMAP #MNIST