Self-Supervised Learning Made Easy with LightlyTrain - Image Classification Tutorial

This tutorial demonstrates how to leverage LightlyTrain for self-supervised learning in image classification without labeling data. Learn how Self-Supervised Learning (SSL) is transforming computer vision similar to how LLMs revolutionized text processing. Discover how to train robust, unbiased foundation models on your own datasets without requiring a PhD. Follow along to load models, modify them for your specific dataset, preprocess images, load trained weights, and run predictions with OpenCV label visualization. The 34-minute guide covers downloading and preparing datasets, pre-training on custom datasets, fine-tuning models with new categories, and testing the final model. Access the complete tutorial code through the provided link and explore additional computer vision resources on the creator's blog and YouTube playlists. The tutorial includes chapters on introduction and demo, installation, building and training the model, fine-tuning on target datasets, and testing the completed model.