Universal visual language model
Qwen-VL is a general-purpose visual language model launched by Alibaba Cloud, which has powerful visual understanding and multi-modal reasoning capabilities. It supports zero-shot image description, visual question answering, text understanding, image landmark positioning and other tasks, reaching or exceeding the current optimal level in multiple visual benchmark tests. The model uses a Transformer structure, is pre-trained with a 7B parameter scale, supports 448x448 resolution, and can process multi-modal input and output of images and text end-to-end. The advantages of Qwen-VL include strong versatility, multi-lingual support, fine-grained understanding, etc. It can be widely used in image understanding, visual question answering, image annotation, image and text generation and other tasks.
Image understanding
Visual Q&A
Image annotation
Image and text generation
describe pictures into text
Answer questions about images
Understand textual information in pictures