Qwen2.5-VL supports rich multimodal application scenarios, mainly including:
- Academic Research:Students can upload images from their papers and the model is able to extract complex formulas and experimental data and generate analysis reports. This is particularly useful in literature reviews and experimental data processing.
- Video Clip:Video creators can input long video clips, and the model can automatically extract key segments, generate video summaries, and add label descriptions for each segment, significantly improving editing efficiency.
- Enterprise Document Management:Employees can upload scanned contracts or technical documents. The model can accurately extract all kinds of clauses, parameter tables and other structured data to facilitate the establishment of a document database.
- Intelligent Assistant:Users can use pictures along with voice commands to allow the model to look up specific information on their phone, such as complex queries like "find out the picture I took yesterday with the red flag".
- Education and training:Automatically correct assignments that include handwritten formulas or parse complex chemical structure diagrams in textbooks.
- Industrial quality control:Automatically detects defects and generates QC reports by analyzing product images.
This answer comes from the articleQwen2.5-VL: an open source multimodal grand model supporting image-video document parsingThe
May not be reproduced without permission:AI productivity tools " What specific multimodal application scenarios does Qwen2.5-VL support? Can you give me some examples?
