add ultralytics yolov8 open images v7 pretrained models into zoo

[fcakyon]

What changes are proposed in this pull request?

Update model zoo metadata to include Open Images v7 pretrained Ultralytics YOLOv8 model weights.

Usage:

import fiftyone as fo
import fiftyone.zoo as foz
import fiftyone.brain as fob
from fiftyone import ViewField as F
dataset = foz.load_zoo_dataset("quickstart", max_samples=10)

model = foz.load_zoo_model('yolov8m-oiv7-torch')
dataset.apply_model(model, label_field="oi")

Fixes #4399.

What do you think about the PR @jacobmarks?

Release Notes

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

• 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.

Add Ultralytics YOLOv8 weights pretrained on Open Images v7 dataset with 600 target classes into Fiftyone Model Zoo.

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

[coderabbitai]

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[jacobmarks]

LGTM and works perfectly, thanks @fcakyon 👍