ultralytics 8.0.92 updates and fixes (#2361)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Yonghye Kwon <developer.0hye@gmail.com>
Co-authored-by: introvin <vinod.4166@gmail.com>
Co-authored-by: marinmarcillat <58145636+marinmarcillat@users.noreply.github.com>
Co-authored-by: BIGBOSS-FOX <47949596+BIGBOSS-FOX@users.noreply.github.com>

docs/modes/train.md

@@ -2,10 +2,6 @@
 comments: true
 ---
 
----
-comments: true
----
-
 <img width="1024" src="https://github.com/ultralytics/assets/raw/main/yolov8/banner-integrations.png">
 
 **Train mode** is used for training a YOLOv8 model on a custom dataset. In this mode, the model is trained using the

docs/overrides/partials/source-file.html

@@ -0,0 +1,26 @@
+{% import "partials/language.html" as lang with context %}
+
+<!-- taken from
+https://github.com/squidfunk/mkdocs-material/blob/master/src/partials/source-file.html -->
+
+<br>
+<div class="md-source-file">
+<small>
+
+    <!-- mkdocs-git-revision-date-localized-plugin -->
+    {% if page.meta.git_revision_date_localized %}
+    📅 {{ lang.t("source.file.date.updated") }}:
+    {{ page.meta.git_revision_date_localized }}
+    {% if page.meta.git_creation_date_localized %}
+        <br />
+        🎂 {{ lang.t("source.file.date.created") }}:
+        {{ page.meta.git_creation_date_localized }}
+    {% endif %}
+
+    <!-- mkdocs-git-revision-date-plugin -->
+    {% elif page.meta.revision_date %}
+    📅 {{ lang.t("source.file.date.updated") }}:
+    {{ page.meta.revision_date }}
+    {% endif %}
+</small>
+</div>

docs/quickstart.md

@@ -96,7 +96,7 @@ CLI requires no customization or Python code. You can simply run all tasks from
 
 !!! warning "Warning"
 
-    Arguments must be passed as `arg=val` pairs, split by an equals `=` sign and delimited by spaces ` ` between pairs. Do not use `--` argument prefixes or commas `,` beteen arguments.
+    Arguments must be passed as `arg=val` pairs, split by an equals `=` sign and delimited by spaces ` ` between pairs. Do not use `--` argument prefixes or commas `,` between arguments.
 
     - `yolo predict model=yolov8n.pt imgsz=640 conf=0.25`   ✅
     - `yolo predict model yolov8n.pt imgsz 640 conf 0.25`   ❌

docs/reference/yolo/utils/plotting.md

@@ -32,3 +32,8 @@
 ---
 :::ultralytics.yolo.utils.plotting.output_to_target
 <br><br>
+
+# feature_visualization
+---
+:::ultralytics.yolo.utils.plotting.feature_visualization
+<br><br>

docs/tasks/classify.md

@@ -77,10 +77,16 @@ see the [Configuration](../usage/cfg.md) page.
 The YOLO classification dataset format is same as the torchvision format. Each class of images has its own folder and you have to simply pass the path of the dataset folder, i.e, `yolo classify train data="path/to/dataset"`
 ```
 dataset/
-├── class1/
-├── class2/
-├── class3/
-├── ...
+├── train/
+├──── class1/
+├──── class2/
+├──── class3/
+├──── ...
+├── val/
+├──── class1/
+├──── class2/
+├──── class3/
+├──── ...
 ```
 ## Val