DINOv2 is a self-supervised method for training computer vision models developed by Meta Research and released in April 2023.
Try the Model
Use the widget below to experiment with DINOv2. You can detect COCO classes such as people, vehicles, animals, household items.
Overview
DINOv2 is a self-supervised method for training computer vision models developed by Meta Research and released in April 2023. Because DINOv2 is self-supervised, the input data does not require labels, which means models based on this architecture can learn richer information about the contents of an image.
DINOv2 License
DINOv2
is licensed under a
license.
Performance
Deploy a DINOv2 API
You can use Roboflow Inference to deploy a
DINOv2
API on your hardware. You can deploy the model on CPU (i.e. Raspberry Pi, AI PCs) and GPU devices (i.e. NVIDIA Jetson, NVIDIA T4).
Below are instructions on how to deploy your own model API.
