DINOv2 with registers is a base-sized Vision Transformer trained using the DINOv2 self-supervised method by Meta. It produces powerful image representations suitable for feature extraction, classification, and retrieval tasks. The model is available through the Hugging Face Transformers library.
Dinov2 With Registers Base sits in PulseGate's Other AI category. It focuses on extracting high-quality semantic features from images without supervised labels. Dinov2 With Registers Base is an open-source project aimed at machine learning developers. Dinov2 With Registers Base is open source under the Apache-2.0 license. Dinov2 With Registers Base is available on the web and API.
It is developed by Meta (United States), and it first shipped in 2023. The project is developed in the open on GitHub with 13.1k stars and 1 commit in the last 90 days. Among its 3 catalogued features are image feature extraction, self-supervised learning, and vision transformer.
Summary written by a language model from the project’s public pages.
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