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Add Docs glossary links (#16448)

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Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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docs/en/integrations/roboflow.md
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@ -6,7 +6,7 @@ keywords: Roboflow, YOLOv8, data labeling, computer vision, model training, mode
# Roboflow
[Roboflow](https://roboflow.com/?ref=ultralytics) has everything you need to build and deploy computer vision models. Connect Roboflow at any step in your pipeline with APIs and SDKs, or use the end-to-end interface to automate the entire process from image to inference. Whether you're in need of [data labeling](https://roboflow.com/annotate?ref=ultralytics), [model training](https://roboflow.com/train?ref=ultralytics), or [model deployment](https://roboflow.com/deploy?ref=ultralytics), Roboflow gives you building blocks to bring custom computer vision solutions to your project.
[Roboflow](https://roboflow.com/?ref=ultralytics) has everything you need to build and deploy [computer vision](https://www.ultralytics.com/glossary/computer-vision-cv) models. Connect Roboflow at any step in your pipeline with APIs and SDKs, or use the end-to-end interface to automate the entire process from image to inference. Whether you're in need of [data labeling](https://roboflow.com/annotate?ref=ultralytics), [model training](https://roboflow.com/train?ref=ultralytics), or [model deployment](https://roboflow.com/deploy?ref=ultralytics), Roboflow gives you building blocks to bring custom computer vision solutions to your project.
!!! question "Licensing"
@ -53,9 +53,9 @@ If you want to gather images yourself, try [Collect](https://github.com/roboflow
## Upload, Convert and Label Data for YOLOv8 Format
[Roboflow Annotate](https://docs.roboflow.com/annotate/use-roboflow-annotate?ref=ultralytics) is an online annotation tool for use in labeling images for object detection, classification, and segmentation.
[Roboflow Annotate](https://docs.roboflow.com/annotate/use-roboflow-annotate?ref=ultralytics) is an online annotation tool for use in labeling images for [object detection](https://www.ultralytics.com/glossary/object-detection), classification, and segmentation.
To label data for a YOLOv8 object detection, instance segmentation, or classification model, first create a project in Roboflow.
To label data for a YOLOv8 object detection, [instance segmentation](https://www.ultralytics.com/glossary/instance-segmentation), or classification model, first create a project in Roboflow.
<p align="center">
<img src="https://github.com/ultralytics/docs/releases/download/0/create-roboflow-project.avif" alt="Create a Roboflow project" width="400">
@ -69,7 +69,7 @@ Next, upload your images, and any pre-existing annotations you have from other t
Select the batch of images you have uploaded on the Annotate page to which you are taken after uploading images. Then, click "Start Annotating" to label images.
To label with bounding boxes, press the `B` key on your keyboard or click the box icon in the sidebar. Click on a point where you want to start your bounding box, then drag to create the box:
To label with bounding boxes, press the `B` key on your keyboard or click the box icon in the sidebar. Click on a point where you want to start your [bounding box](https://www.ultralytics.com/glossary/bounding-box), then drag to create the box:
<p align="center">
<img src="https://github.com/ultralytics/docs/releases/download/0/annotating-an-image-in-roboflow.avif" alt="Annotating an image in Roboflow" width="800">
@ -194,7 +194,7 @@ You can also use your uploaded model as a [labeling assistant](https://docs.robo
Roboflow provides a range of features for use in evaluating models.
Once you have uploaded a model to Roboflow, you can access our model evaluation tool, which provides a confusion matrix showing the performance of your model as well as an interactive vector analysis plot. These features can help you find opportunities to improve your model.
Once you have uploaded a model to Roboflow, you can access our model evaluation tool, which provides a [confusion matrix](https://www.ultralytics.com/glossary/confusion-matrix) showing the performance of your model as well as an interactive vector analysis plot. These features can help you find opportunities to improve your model.
To access a confusion matrix, go to your model page on the Roboflow dashboard, then click "View Detailed Evaluation":
@ -248,7 +248,7 @@ Below are a few of the many pieces of feedback we have received for using YOLOv8
Labeling data for YOLOv8 models using Roboflow is straightforward with Roboflow Annotate. First, create a project on Roboflow and upload your images. After uploading, select the batch of images and click "Start Annotating." You can use the `B` key for bounding boxes or the `P` key for polygons. For faster annotation, use the SAM-based label assistant by clicking the cursor icon in the sidebar. Detailed steps can be found [here](#upload-convert-and-label-data-for-yolov8-format).
### What services does Roboflow offer for collecting YOLOv8 training data?
### What services does Roboflow offer for collecting YOLOv8 [training data](https://www.ultralytics.com/glossary/training-data)?
Roboflow provides two key services for collecting YOLOv8 training data: [Universe](https://universe.roboflow.com/?ref=ultralytics) and [Collect](https://github.com/roboflow/roboflow-collect?ref=ultralytics). Universe offers access to over 250,000 vision datasets, while Collect helps you gather images using a webcam and automated prompts.