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feat: ๐ add YOLOv8s WorldV2 deployment workflow and model predictor #21
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๐ Hello @onuralpszr, thank you for submitting an
For more guidance, please refer to our Contributing Guide. Donโt hesitate to leave a comment if you have any questions. Thank you for contributing to Ultralytics! ๐๐โจ This is an automated response. An Ultralytics engineer will assist you soon. |
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@glenn-jocher it is ready for you to check URL : https://replicate.com/ultralytics/yolov8s-worldv2 I also include filled informations in replicate and added examples mostly it should be complete |
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: Onuralp SEZER <onuralp@ultralytics.com>
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@glenn-jocher please quick review and let's merge this one. Then I will apply changes to PR: #20 to finish and make ready for review. |
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๐ Fantastic work, @onuralpszr and @glenn-jocher! Your contributions to bringing YOLOv8s WorldV2 deployment to Replicate are a huge leap forward for the Ultralytics community. As Helen Keller once said, โAlone we can do so little; together we can do so much.โ Your collaboration is empowering users with greater flexibility, accessibility, and automation through seamless object detectionโno GPU required! Thank you for your dedication and impact in advancing Ultralytics solutions. ๐ |
๐ ๏ธ PR Summary
Made with โค๏ธ by Ultralytics Actions
๐ Summary
This update adds support for deploying the YOLOv8s WorldV2 model on Replicate, enabling easy image object detection with flexible class selection and output options. ๐๐ผ๏ธ
๐ Key Changes
๐ฏ Purpose & Impact