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@jlcsilva jlcsilva commented Feb 19, 2024

Adds support for YOLOv8 models trained on Ultralytics. In particular, uses a YOLOv8 nano, and a YOLOv8 small, whose inference is up to 3 times faster, and whose performance is slightly superior, according to benchmarks on DocLayNet using pycocotools:

  • YOLOX: mAP: 0.580, mAP@50: 0.768
  • YOLOv8 Small: mAP: 0.643, mAP@50: 0.771

@Matheus-Garbelini
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Any update on this? This yolov8 is a game changer. It would be great to have this officially supported in unstructured inference repository.

@cragwolfe
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The license for yolov8 appears to not be commercial-friendly, which conflicts the commercial-friendly licensing of this project.

@Matheus-Garbelini
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@cragwolfe I see thank you.

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3 participants