In recent years, self-supervised learning has emerged as a powerful technique for training computer vision models without requiring large amounts of labeled data. Models trained using self-supervision can learn rich representations directly from images, circumventing the need for manual image labeling. DINOv2 now on Huggingface: https://huggingface.co/docs/transformers/main/model_doc/dinov2 Github: https://github.com/facebookresearch/dinov2 Demos: https://dinov2.metademolab.com/ Meta AI has developed a … Read more
Category: Computer Vision (CV)
Uncover the science behind machines that see in our Computer Vision category. Dive into the world of image and video analysis, object detection, facial recognition, and more, learning how machines are trained to interpret visual data.
Exploring the New Kaiber AI Motion Feature
Kaiber AI has made waves in the world of AI-generated video with its ability to create short videos from text prompts and images. Now, the company has released an early beta of a new Motion feature that can animate still images into short video clips. In this article, we’ll take a hands-on look at what … Read more
PhotoPrism: Your Personal AI Photo Management Solution
Photo management apps like Google Photos and Apple iCloud make organizing and sharing photos easy, but often at the cost of privacy. As more people become concerned about how tech giants use their data, open source self-hosted solutions like PhotoPrism are becoming increasingly popular. What is PhotoPrism? PhotoPrism is an AI-powered self-hosted photo management and … Read more