

Qwen VL
Overview :
Qwen-VL is a general-purpose visual language model launched by Alibaba Cloud. It has powerful visual understanding and multimodal reasoning capabilities. The model supports zero-shot image description, visual question answering, text understanding, image landmark localization, and other tasks, achieving or exceeding the current state-of-the-art performance in multiple visual benchmark tests. Qwen-VL employs a Transformer architecture, pre-trained with a scale of 7B parameters, and supports 448x448 resolution for end-to-end processing of multimodal input and output between images and text. The model's advantages include its strong generality, multilingual support, and fine-grained understanding. It can be widely applied in tasks such as image understanding, visual question answering, image annotation, and text-to-image generation.
Target Users :
["Image Understanding","Visual Question Answering","Image Annotation","Text-to-Image Generation"]
Use Cases
Describe an image in text
Answer questions about an image
Understand text information in an image
Features
Zero-shot Image Description
Visual Question Answering
Text Understanding
Image Landmark Localization
Multilingual Support
Fine-grained Image Understanding
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