What is Kosmos-2?

Kosmos-2 is a multimodal language model capable of object detection and grounding text in images.

About the model

Here is an overview of the

Kosmos-2

model:

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

Kosmos-2 is a multimodal language model capable of object detection and grounding text in images.

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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.

Learn about YOLOv8

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

Explore this model on Roboflow

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Deploy Kosmos-2 to production

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

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Kosmos-2 Annotation Format

Kosmos-2

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 Kosmos-2

You can automatically label a dataset using

Kosmos-2

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

Kosmos-2

to train a computer vision model.

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Compare to related models

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