Models

What is Grounding DINO?

Grounding DINO is a state-of-the-art zero-shot object detection model, developed by IDEA Research.

About the model

Here is an overview of the

Grounding DINO

model:

Date of Release
Model Type Object Detection
Architecture
Framework Used
Annotation Format
Stars on GitHub +

Grounding DINO is a state-of-the-art zero-shot object detection model.

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Check out YOLOv8, defining a new state-of-the-art in computer vision

YOLOv8 is here, setting a new standard for performance in object detection and image segmentation tasks. Roboflow has developed a library of resources to help you get started with YOLOv8, covering guides on how to train YOLOv8, how the model stacks up against v5 and v7, and more.

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Check out YOLOv8, defining a new state-of-the-art in computer vision

YOLOv8 is here, setting a new standard for performance in object detection and image segmentation tasks. Roboflow has developed a library of resources to help you get started with YOLOv8, covering guides on how to train YOLOv8, how the model stacks up against v5 and v7, and more.

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Model Performance

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Deploy Grounding DINO to production

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

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Grounding DINO Annotation Format

Grounding DINO

uses the

uses the

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

Label data automatically with Grounding DINO

You can automatically label a dataset using

Grounding DINO

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

Grounding DINO

to train a computer vision model.

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