Add YOLOv8, YOLOv9, and YOLO-World to FiftyOne Model Zoo

[jacobmarks]

With our Ultralytics integration, it is currently possible to load a YOLOv8, YOLOv9, or YOLO-World model from Ultralytics and then apply it to a FiftyOne dataset. This PR goes a step further and directly adds these models to the model zoo.

One upside of this approach is that model location is managed by FiftyOne, as opposed to loading directly from Ultralytics, which results in the checkpoint being downloaded to your current working directory.

The PR updates the Ultralytics integration docs to reflect these new changes.

(Details)

Release Notes

Is this a user-facing change that should be mentioned in the release notes?

Adds YOLOv8, YOLOv9, and YOLO-World models directly to the zoo

• No. You can skip the rest of this section.
• Yes. Give a description of this change to be included in the release
  notes for FiftyOne users.

(Details in 1-2 sentences. You can just refer to another PR with a description
if this PR is part of a larger change.)

What areas of FiftyOne does this PR affect?

• App: FiftyOne application changes
• Build: Build and test infrastructure changes
• Core: Core fiftyone Python library changes
• Documentation: FiftyOne documentation changes
• Other

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[brimoor]

@jacobmarks thanks for this! LMK what you think about my proposed refactor which should simplify things 👍

[jacobmarks]

@brimoor just updated to reflect this approach!

[brimoor]

LGTM! I simplified the implementation a bit (and made sure that all the integration examples still run before approving 😄)

[brimoor]

moved this to the end of the section because the previous sections all use the same dataset defined in the Setup section

[brimoor]

FYI actually no parameters are required here. load_zoo_model() automatically downloads the model and injects the path into the model_path of the config