ModelsObject Detection
DINOv2
Object Detection
Deploy with Roboflow

DINOv2

DINOv2 is a self-supervised method for training computer vision models developed by Meta Research and released in April 2023.
•
GitHubGitHub
•
star
stars
•
license
•
Released
•
Arxiv logo markPaper

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.

Performance

Use This Model

Label Data Automatically with DINOv2

You can automatically label a dataset using DINOv2 with help from Autodistill, an open source package for training computer vision models. You can label a folder of images automatically with only a few lines of code. Below, see our tutorials that demonstrate how to use DINOv2 to train a computer vision model.
No items found.
Rocket

Deploy to Production

Roboflow offers a range of SDKs with which you can deploy your model to production.
Deploy to...
Rocket

Build a Workflow

Use DINOv2 to Build Computer Vision Pipelines and Applications
Images

Data

Augmentation GuideLabeling Guide
Flask

Training

Model OverviewTrain on ColabTrain on JupyterTrain on KaggleTrain on SageMaker
Screwdriver and Wrench

Utilities

Plot PredictionsFilter PredictionsBlur PredictionsCreate A Confusion MatrixUse SAHI for Small Object Detection
Code Compare

Compare to Related Models

Curious about how this model compares to others? Check out our model comparisons.
Compare with...
arrow progress

Convert Annotation Format

YOLOv8 uses the uses the YOLOv8 PyTorch TXT annotation format. If your annotation is in a different format, you can use Roboflow's annotation conversion tools to get your data into the right format.
Convert Data Between Formats

Architecture

Frameworks

Annotation Format

Popular DINOv2 Use Cases

No items found.

DINOv2 Integrations

No items found.

Explore This Model on Roboflow

No items found.
Ready to get started?

Join over 500,000 developers building with Roboflow

Try it for FreeTalk to Sales