ultralytics 8.0.116 NAS, DVC, YOLOv5u updates (#3124)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

docs/yolov5/tutorials/roboflow_datasets_integration.md

@@ -6,7 +6,11 @@ description: Use Roboflow to organize, label, prepare, version & host datasets f
 # Roboflow Datasets
 
 You can now use Roboflow to organize, label, prepare, version, and host your datasets for training YOLOv5 🚀 models. Roboflow is free to use with YOLOv5 if you make your workspace public.  
-UPDATED 30 September 2021.
+UPDATED 7 June 2023.
+
+!!! warning
+
+    Roboflow users can use Ultralytics under the [AGPL license](https://github.com/ultralytics/ultralytics/blob/main/LICENSE) or procure an [Enterprise license](https://ultralytics.com/license) directly from Ultralytics. Be aware that Roboflow does **not** provide Ultralytics licenses, and it is the responsibility of the user to ensure appropriate licensing.
 
 ## Upload
 

docs/yolov5/tutorials/train_custom_data.md

@@ -4,7 +4,7 @@ description: Train your custom dataset with YOLOv5. Learn to collect, label and
 ---
 
 📚 This guide explains how to train your own **custom dataset** with [YOLOv5](https://github.com/ultralytics/yolov5) 🚀.  
-UPDATED 26 March 2023.
+UPDATED 7 June 2023.
 
 ## Before You Start
 
@@ -32,6 +32,10 @@ YOLOv5 models must be trained on labelled data in order to learn classes of obje
 <details markdown>
 <summary>Use <a href="https://roboflow.com/?ref=ultralytics">Roboflow</a> to create your dataset in YOLO format</summary>
 
+!!! warning
+
+    Roboflow users can use Ultralytics under the [AGPL license](https://github.com/ultralytics/ultralytics/blob/main/LICENSE) or procure an [Enterprise license](https://ultralytics.com/license) directly from Ultralytics. Be aware that Roboflow does **not** provide Ultralytics licenses, and it is the responsibility of the user to ensure appropriate licensing.
+
 ### 1.1 Collect Images
 
 Your model will learn by example. Training on images similar to the ones it will see in the wild is of the utmost importance. Ideally, you will collect a wide variety of images from the same configuration (camera, angle, lighting, etc.) as you will ultimately deploy your project.
@@ -200,6 +204,7 @@ Results file `results.csv` is updated after each epoch, and then plotted as `res
 
 ```python
 from utils.plots import plot_results
+
 plot_results('path/to/results.csv')  # plot 'results.csv' as 'results.png'
 ```