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Empowering X-AnyLabeling with YOLO-World Model Support

Open CVHub520 opened this issue 1 year ago โ€ข 3 comments

Hi, @wondervictor, a huge shoutout for your remarkable contributions!

I've seamlessly integrated YOLO-World into X-AnyLabeling, marking a significant advancement in our capabilities.

YOLO-World introduces a groundbreaking approach to YOLO detectors, enhancing them with open-vocabulary detection capabilities through vision-language modeling and pre-training on large-scale datasets. The introduction of a new Re-parameterizable Vision-Language Path Aggregation Network (RepVL-PAN) and region-text contrastive loss facilitates seamless interaction between visual and linguistic information.

Our integration with YOLO-World propels X-AnyLabeling to new heights, providing a versatile and efficient solution for image data engineering.

Pls note that, this is not an issue but a celebration of a successful integration. Thank you once again for your exceptional contribution. Looking forward to more successful collaborations ahead!

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CVHub520 avatar Mar 12 '24 01:03 CVHub520

Awesome ๐ŸŽ‰๐ŸŽ‰๐ŸŽ‰ ! Hi @CVHub520, this is a very exciting and perfect work, and I am very happy that YOLO-World can be used as a labeling tool for everyone ๐Ÿ˜„. Thank you very much for the efforts and contributions of your team! I will also actively recommend this AI-powered open-source labeling tool X-AnyLabeling to my colleagues and friends around me, which is a very good idea. If I have any enhancements for YOLO-World, I will also synchronize them with you as soon as possible, hoping to make this labeling platform even stronger!

wondervictor avatar Mar 12 '24 01:03 wondervictor

Great to hear your excitement! ๐Ÿš€ Thank you so much for your positive feedback and support!

We're thrilled that YOLO-World is proving valuable as a labeling tool. If you ever have any enhancements or suggestions for YOLO-World, feel free to share them with us. Together, let's make this labeling platform even more powerful! ๐Ÿ˜Š๐Ÿ‘

CVHub520 avatar Mar 12 '24 08:03 CVHub520

Great to hear your excitement! ๐Ÿš€ Thank you so much for your positive feedback and support!

We're thrilled that YOLO-World is proving valuable as a labeling tool. If you ever have any enhancements or suggestions for YOLO-World, feel free to share them with us. Together, let's make this labeling platform even more powerful! ๐Ÿ˜Š๐Ÿ‘

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xiyangyang99 avatar Mar 12 '24 09:03 xiyangyang99