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ultralytics 8.0.196 instance-mean Segment loss (#5285)

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Co-authored-by: Andy <39454881+yermandy@users.noreply.github.com>
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docs/datasets/detect/coco8.md
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@ -8,11 +8,7 @@ keywords: Ultralytics, COCO8 dataset, object detection, model testing, dataset c
## Introduction
[Ultralytics](https://ultralytics.com) COCO8 is a small, but versatile object detection dataset composed of the first 8
images of the COCO train 2017 set, 4 for training and 4 for validation. This dataset is ideal for testing and debugging
object detection models, or for experimenting with new detection approaches. With 8 images, it is small enough to be
easily manageable, yet diverse enough to test training pipelines for errors and act as a sanity check before training
larger datasets.
[Ultralytics](https://ultralytics.com) COCO8 is a small, but versatile object detection dataset composed of the first 8 images of the COCO train 2017 set, 4 for training and 4 for validation. This dataset is ideal for testing and debugging object detection models, or for experimenting with new detection approaches. With 8 images, it is small enough to be easily manageable, yet diverse enough to test training pipelines for errors and act as a sanity check before training larger datasets.
This dataset is intended for use with Ultralytics [HUB](https://hub.ultralytics.com)
and [YOLOv8](https://github.com/ultralytics/ultralytics).