`ultralytics 8.0.138` update `hub/utils.py` Events (#3839)

docs/yolov5/tutorials/train_custom_data.md

@@ -30,12 +30,12 @@ Creating a custom model to detect your objects is an iterative process of collec
 
 YOLOv5 models must be trained on labelled data in order to learn classes of objects in that data. There are two options for creating your dataset before you start training:
 
-<details markdown>
+<details open markdown>
-<summary>Use <a href="https://roboflow.com/?ref=ultralytics">Roboflow</a> to create your dataset in YOLO format</summary>
+<summary>Use <a href="https://roboflow.com/?ref=ultralytics">Roboflow</a> to create your dataset in YOLO format 🌟</summary>
 
-!!! warning
+!!! note
 
-    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.
+    Roboflow users can use Ultralytics under the [AGPL license](https://github.com/ultralytics/ultralytics/blob/main/LICENSE) or can request 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
 
@@ -84,7 +84,7 @@ script or notebook to download your dataset.
 Now continue with `2. Select a Model`.
 </details>
 
-<details open markdown>
+<details markdown>
 <summary>Or manually prepare your dataset</summary>
 
 ### 1.1 Create dataset.yaml

ultralytics/__init__.py

@@ -1,6 +1,6 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 
-__version__ = '8.0.137'
+__version__ = '8.0.138'
 
 from ultralytics.engine.model import YOLO
 from ultralytics.hub import start

ultralytics/hub/utils.py

@@ -13,6 +13,7 @@ from tqdm import tqdm
 
 from ultralytics.utils import (ENVIRONMENT, LOGGER, ONLINE, RANK, SETTINGS, TESTS_RUNNING, TQDM_BAR_FORMAT, TryExcept,
                                __version__, colorstr, get_git_origin_url, is_colab, is_git_dir, is_pip_package)
+from ultralytics.utils.downloads import GITHUB_ASSET_NAMES
 
 PREFIX = colorstr('Ultralytics HUB: ')
 HELP_MSG = 'If this issue persists please visit https://github.com/ultralytics/hub/issues for assistance.'
@@ -193,7 +194,9 @@ class Events:
 
         # Attempt to add to events
         if len(self.events) < 25:  # Events list limited to 25 events (drop any events past this)
-            params = {**self.metadata, **{'task': cfg.task}}
+            params = {
+                **self.metadata, 'task': cfg.task,
+                'model': cfg.model if cfg.model in GITHUB_ASSET_NAMES else 'custom'}
             if cfg.mode == 'export':
                 params['format'] = cfg.format
             self.events.append({'name': cfg.mode, 'params': params})