What is CogVLM?

that shows strong performanve in Visual Question Answering (VQA) and other vision tasks. CogVLM achieves state-of-the-art performance on a range of vision benchmarks.

About the model

Here is an overview of the

CogVLM

model:

Date of Release
Model Type Multimodal Model
Architecture
Framework Used
Annotation Format
Stars on GitHub 25000+

CogVLM can understand and answer various types of questions and has a visual grounding version. Grounding the ability of the model to connect and relate its responses to real-world knowledge and facts, in our case objects on the image.

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Model Performance

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Deploy CogVLM to production

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

CogVLM Annotation Format

CogVLM

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 CogVLM

You can automatically label a dataset using

CogVLM

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

CogVLM

to train a computer vision model.

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