Models
QwenVL vs. CogVLM

QwenVL vs. CogVLM

Both QwenVL and CogVLM are commonly used in computer vision projects. Below, we compare and contrast QwenVL and CogVLM.

Models

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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.
Learn more about QwenVL
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CogVLM

CogVLM shows strong performance in Visual Question Answering (VQA) and other vision tasks.
Learn more about CogVLM
Model Type
Multimodal Model
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Multimodal Model
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Model Features
Item 1 Info
Item 2 Info
Architecture
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Annotation Format
Instance Segmentation
Instance Segmentation
Framework
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PyTorch
GitHub
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View Repo
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View Repo
GitHub Stars
3.3k+
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4.7k+
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License
Tongyi Qianwen
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Apache-2.0
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Paper
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View Paper
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View Paper
Training Notebook
Train on Colab
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Train on Colab
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Deploy Model
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Deploy with Roboflow
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rocket icon
Deploy with Roboflow
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Compare QwenVL and CogVLM with Autodistill

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Compare QwenVL vs. CogVLM

Provide your own image below to test YOLOv8 and YOLOv9 model checkpoints trained on the Microsoft COCO dataset.

COCO can detect 80 common objects, including cats, cell phones, and cars.