Update YOLO11 Actions and Docs (#16596)

Signed-off-by: UltralyticsAssistant <web@ultralytics.com>

.github/ISSUE_TEMPLATE/bug-report.yml

@@ -56,7 +56,7 @@ body:
       placeholder: |
         Paste output of `yolo checks` or `ultralytics.checks()` command, i.e.:
         ```
-        Ultralytics YOLOv8.0.181 🚀 Python-3.11.2 torch-2.0.1 CPU (Apple M2)
+        Ultralytics 8.3.2 🚀 Python-3.11.2 torch-2.4.1 CPU (Apple M3)
         Setup complete ✅ (8 CPUs, 16.0 GB RAM, 266.5/460.4 GB disk)
 
         OS                  macOS-13.5.2
@@ -64,7 +64,7 @@ body:
         Python              3.11.2
         Install             git
         RAM                 16.00 GB
-        CPU                 Apple M2
+        CPU                 Apple M3
         CUDA                None
         ```
     validations:

.github/ISSUE_TEMPLATE/config.yml

@@ -4,7 +4,7 @@ blank_issues_enabled: true
 contact_links:
   - name: 📄 Docs
     url: https://docs.ultralytics.com/
-    about: Full Ultralytics YOLOv8 Documentation
+    about: Full Ultralytics YOLO Documentation
   - name: 💬 Forum
     url: https://community.ultralytics.com/
     about: Ask on Ultralytics Community Forum

.github/ISSUE_TEMPLATE/feature-request.yml

@@ -1,14 +1,14 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 
 name: 🚀 Feature Request
-description: Suggest a YOLOv8 idea
+description: Suggest an Ultralytics YOLO idea
 # title: " "
 labels: [enhancement]
 body:
   - type: markdown
     attributes:
       value: |
-        Thank you for submitting a YOLOv8 🚀 Feature Request!
+        Thank you for submitting an Ultralytics 🚀 Feature Request!
 
   - type: checkboxes
     attributes:
@@ -17,7 +17,7 @@ body:
         Please search the Ultralytics [Docs](https://docs.ultralytics.com) and [issues](https://github.com/ultralytics/ultralytics/issues) to see if a similar feature request already exists.
       options:
         - label: >
-            I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and found no similar feature requests.
+            I have searched the Ultralytics [issues](https://github.com/ultralytics/ultralytics/issues) and found no similar feature requests.
           required: true
 
   - type: textarea
@@ -25,7 +25,7 @@ body:
       label: Description
       description: A short description of your feature.
       placeholder: |
-        What new feature would you like to see in YOLOv8?
+        What new feature would you like to see in YOLO?
     validations:
       required: true
 
@@ -46,7 +46,7 @@ body:
     attributes:
       label: Are you willing to submit a PR?
       description: >
-        (Optional) We encourage you to submit a [Pull Request](https://github.com/ultralytics/ultralytics/pulls) (PR) to help improve YOLOv8 for everyone, especially if you have a good understanding of how to implement a fix or feature.
-        See the YOLOv8 [Contributing Guide](https://docs.ultralytics.com/help/contributing) to get started.
+        (Optional) We encourage you to submit a [Pull Request](https://github.com/ultralytics/ultralytics/pulls) (PR) to help improve YOLO for everyone, especially if you have a good understanding of how to implement a fix or feature.
+        See the Ultralytics [Contributing Guide](https://docs.ultralytics.com/help/contributing) to get started.
       options:
         - label: Yes I'd like to help by submitting a PR!

.github/workflows/ci.yaml

@@ -320,16 +320,16 @@ jobs:
           conda list
       - name: Test CLI
         run: |
-          yolo predict model=yolov8n.pt imgsz=320
-          yolo train model=yolov8n.pt data=coco8.yaml epochs=1 imgsz=32
-          yolo val model=yolov8n.pt data=coco8.yaml imgsz=32
-          yolo export model=yolov8n.pt format=torchscript imgsz=160
+          yolo predict model=yolo11n.pt imgsz=320
+          yolo train model=yolo11n.pt data=coco8.yaml epochs=1 imgsz=32
+          yolo val model=yolo11n.pt data=coco8.yaml imgsz=32
+          yolo export model=yolo11n.pt format=torchscript imgsz=160
       - name: Test Python
         # Note this step must use the updated default bash environment, not a python environment
         run: |
           python -c "
           from ultralytics import YOLO
-          model = YOLO('yolov8n.pt')
+          model = YOLO('yolo11n.pt')
           results = model.train(data='coco8.yaml', epochs=3, imgsz=160)
           results = model.val(imgsz=160)
           results = model.predict(imgsz=160)

.github/workflows/format.yml

@@ -48,7 +48,7 @@ jobs:
 
             ## Environments
 
-            YOLOv8 may be run in any of the following up-to-date verified environments (with all dependencies including [CUDA](https://developer.nvidia.com/cuda)/[CUDNN](https://developer.nvidia.com/cudnn), [Python](https://www.python.org/) and [PyTorch](https://pytorch.org/) preinstalled):
+            YOLO may be run in any of the following up-to-date verified environments (with all dependencies including [CUDA](https://developer.nvidia.com/cuda)/[CUDNN](https://developer.nvidia.com/cudnn), [Python](https://www.python.org/) and [PyTorch](https://pytorch.org/) preinstalled):
 
             - **Notebooks** with free GPU: <a href="https://console.paperspace.com/github/ultralytics/ultralytics"><img src="https://assets.paperspace.io/img/gradient-badge.svg" alt="Run on Gradient"/></a> <a href="https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/tutorial.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a> <a href="https://www.kaggle.com/ultralytics/yolov8"><img src="https://kaggle.com/static/images/open-in-kaggle.svg" alt="Open In Kaggle"></a>
             - **Google Cloud** Deep Learning VM. See [GCP Quickstart Guide](https://docs.ultralytics.com/yolov5/environments/google_cloud_quickstart_tutorial/)
@@ -59,4 +59,4 @@ jobs:
 
             <a href="https://github.com/ultralytics/ultralytics/actions/workflows/ci.yaml?query=event%3Aschedule"><img src="https://github.com/ultralytics/ultralytics/actions/workflows/ci.yaml/badge.svg" alt="Ultralytics CI"></a>
 
-            If this badge is green, all [Ultralytics CI](https://github.com/ultralytics/ultralytics/actions/workflows/ci.yaml?query=event%3Aschedule) tests are currently passing. CI tests verify correct operation of all YOLOv8 [Modes](https://docs.ultralytics.com/modes/) and [Tasks](https://docs.ultralytics.com/tasks/) on macOS, Windows, and Ubuntu every 24 hours and on every commit.
+            If this badge is green, all [Ultralytics CI](https://github.com/ultralytics/ultralytics/actions/workflows/ci.yaml?query=event%3Aschedule) tests are currently passing. CI tests verify correct operation of all YOLO [Modes](https://docs.ultralytics.com/modes/) and [Tasks](https://docs.ultralytics.com/tasks/) on macOS, Windows, and Ubuntu every 24 hours and on every commit.