DINOv2
A family of foundation models producing universal features suitable for image-level visual tasks (image classification, instance retrieval, video understanding) as well as pixel-level visual tasks (depth estimation, semantic segmentation).
Cost / License
- Free
- Open Source
Platforms
- Self-Hosted
Features
- AI-Powered
Tags
- Image Classification
- self-learning-system
- semantic-segmentation
- visual-tasks
- depth-estimation
- computer-vision
- self-learning
- instance-retrieval
DINOv2 News & Activities
Recent News
- Maoholguin published news article about DINOv2
Meta AI introduces DINOv2: A Self-Supervised Learning Technique for High-Performing Computer Vision ModelsMeta AI has announced DINOv2, a new technique for training high-performing computer vision models. ...
Recent activities
DINOv2 information
Developed by
Meta Licensing
Open Source (Apache-2.0) and Free product.Alternatives
20 alternatives listedSupported Languages
- English
What is DINOv2?
A family of foundation models producing universal features suitable for image-level visual tasks (image classification, instance retrieval, video understanding) as well as pixel-level visual tasks (depth estimation, semantic segmentation).
DINOv2 models produce high-performance visual features that can be directly employed with classifiers as simple as linear layers on a variety of computer vision tasks; these visual features are robust and perform well across domains without any requirement for fine-tuning. The models were pretrained on a dataset of 142 M images without using any labels or annotations.