ultralytics 8.0.97 confusion matrix, windows, docs updates (#2511)

Co-authored-by: Yonghye Kwon <developer.0hye@gmail.com>
Co-authored-by: Dowon <ks2515@naver.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>

docs/reference/nn/autobackend.md

@@ -1,3 +1,7 @@
+---
+description: Ensure class names match filenames for easy imports. Use AutoBackend to automatically rename and refactor model files.
+---
+
 # AutoBackend
 ---
 :::ultralytics.nn.autobackend.AutoBackend
@@ -6,4 +10,4 @@
 # check_class_names
 ---
 :::ultralytics.nn.autobackend.check_class_names
-<br><br>
+<br><br>

docs/reference/nn/autoshape.md

@@ -1,3 +1,7 @@
+---
+description: Detect 80+ object categories with bounding box coordinates and class probabilities using AutoShape in Ultralytics YOLO. Explore Detections now.
+---
+
 # AutoShape
 ---
 :::ultralytics.nn.autoshape.AutoShape
@@ -6,4 +10,4 @@
 # Detections
 ---
 :::ultralytics.nn.autoshape.Detections
-<br><br>
+<br><br>

docs/reference/nn/modules.md

@@ -1,3 +1,7 @@
+---
+description: Explore Ultralytics neural network modules for convolution, attention, detection, pose, and classification in PyTorch.
+---
+
 # Conv
 ---
 :::ultralytics.nn.modules.Conv
@@ -166,4 +170,4 @@
 # autopad
 ---
 :::ultralytics.nn.modules.autopad
-<br><br>
+<br><br>

docs/reference/nn/tasks.md

@@ -1,3 +1,7 @@
+---
+description: Learn how to work with Ultralytics YOLO Detection, Segmentation & Classification Models, load weights and parse models in PyTorch.
+---
+
 # BaseModel
 ---
 :::ultralytics.nn.tasks.BaseModel
@@ -56,4 +60,4 @@
 # guess_model_task
 ---
 :::ultralytics.nn.tasks.guess_model_task
-<br><br>
+<br><br>