What is QwenVL?

Qwen-VL is an LMM developed by Alibaba Cloud. Qwen-VL accepts images, text, and bounding boxes as inputs. The model can output text and bounding boxes. Qwen-VL naturally supports English, Chinese, and multilingual conversation.

About the model

Here is an overview of the

QwenVL

model:

Date of Release
Model Type Multimodal Model
Architecture
Framework Used
Annotation Format
Stars on GitHub 1900+

Qwen-VL is an LMM developed by Alibaba Cloud. Qwen-VL accepts images, text, and bounding boxes as inputs. The model can output text and bounding boxes. Qwen-VL naturally supports English, Chinese, and multilingual conversation. Thus, this model may be worth exploring if you have a use case where you expect Chinese and English to be used in prompts or answers.

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Model Performance

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Deploy QwenVL to production

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

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QwenVL Annotation Format

QwenVL

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 QwenVL

You can automatically label a dataset using

QwenVL

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

QwenVL

to train a computer vision model.

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Compare to related models

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