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/yolo/data/annotator.md

@@ -1,4 +1,8 @@
+---
+description: Learn how to use auto_annotate in Ultralytics YOLO to generate annotations automatically for your dataset. Simplify object detection workflows.
+---
+
 # auto_annotate
 ---
 :::ultralytics.yolo.data.annotator.auto_annotate
-<br><br>
+<br><br>

docs/reference/yolo/data/augment.md

@@ -1,3 +1,7 @@
+---
+description: Use Ultralytics YOLO Data Augmentation transforms with Base, MixUp, and Albumentations for object detection and classification.
+---
+
 # BaseTransform
 ---
 :::ultralytics.yolo.data.augment.BaseTransform
@@ -86,4 +90,4 @@
 # classify_albumentations
 ---
 :::ultralytics.yolo.data.augment.classify_albumentations
-<br><br>
+<br><br>

docs/reference/yolo/data/base.md

@@ -1,4 +1,8 @@
+---
+description: Learn about BaseDataset in Ultralytics YOLO, a flexible dataset class for object detection. Maximize your YOLO performance with custom datasets.
+---
+
 # BaseDataset
 ---
 :::ultralytics.yolo.data.base.BaseDataset
-<br><br>
+<br><br>

docs/reference/yolo/data/build.md

@@ -1,3 +1,7 @@
+---
+description: Maximize YOLO performance with Ultralytics' InfiniteDataLoader, seed_worker, build_dataloader, and load_inference_source functions.
+---
+
 # InfiniteDataLoader
 ---
 :::ultralytics.yolo.data.build.InfiniteDataLoader
@@ -31,4 +35,4 @@
 # load_inference_source
 ---
 :::ultralytics.yolo.data.build.load_inference_source
-<br><br>
+<br><br>

docs/reference/yolo/data/converter.md

@@ -1,3 +1,7 @@
+---
+description: Convert COCO-91 to COCO-80 class, RLE to polygon, and merge multi-segment images with Ultralytics YOLO data converter. Improve your object detection.
+---
+
 # coco91_to_coco80_class
 ---
 :::ultralytics.yolo.data.converter.coco91_to_coco80_class
@@ -26,4 +30,4 @@
 # delete_dsstore
 ---
 :::ultralytics.yolo.data.converter.delete_dsstore
-<br><br>
+<br><br>

docs/reference/yolo/data/dataloaders/stream_loaders.md

@@ -1,3 +1,7 @@
+---
+description: 'Ultralytics YOLO Docs: Learn about stream loaders for image and tensor data, as well as autocasting techniques. Check out SourceTypes and more.'
+---
+
 # SourceTypes
 ---
 :::ultralytics.yolo.data.dataloaders.stream_loaders.SourceTypes
@@ -31,4 +35,4 @@
 # autocast_list
 ---
 :::ultralytics.yolo.data.dataloaders.stream_loaders.autocast_list
-<br><br>
+<br><br>

docs/reference/yolo/data/dataloaders/v5augmentations.md

@@ -1,3 +1,7 @@
+---
+description: Enhance image data with Albumentations CenterCrop, normalize, augment_hsv, replicate, random_perspective, cutout, & box_candidates.
+---
+
 # Albumentations
 ---
 :::ultralytics.yolo.data.dataloaders.v5augmentations.Albumentations
@@ -81,4 +85,4 @@
 # classify_transforms
 ---
 :::ultralytics.yolo.data.dataloaders.v5augmentations.classify_transforms
-<br><br>
+<br><br>

docs/reference/yolo/data/dataloaders/v5loader.md

@@ -1,3 +1,7 @@
+---
+description: Efficiently load images and labels to models using Ultralytics YOLO's InfiniteDataLoader, LoadScreenshots, and LoadStreams.
+---
+
 # InfiniteDataLoader
 ---
 :::ultralytics.yolo.data.dataloaders.v5loader.InfiniteDataLoader
@@ -86,4 +90,4 @@
 # create_classification_dataloader
 ---
 :::ultralytics.yolo.data.dataloaders.v5loader.create_classification_dataloader
-<br><br>
+<br><br>

docs/reference/yolo/data/dataset.md

@@ -1,3 +1,7 @@
+---
+description: Create custom YOLOv5 datasets with Ultralytics YOLODataset and SemanticDataset. Streamline your object detection and segmentation projects.
+---
+
 # YOLODataset
 ---
 :::ultralytics.yolo.data.dataset.YOLODataset
@@ -11,4 +15,4 @@
 # SemanticDataset
 ---
 :::ultralytics.yolo.data.dataset.SemanticDataset
-<br><br>
+<br><br>

docs/reference/yolo/data/dataset_wrappers.md

@@ -1,4 +1,8 @@
+---
+description: Create a custom dataset of mixed and oriented rectangular objects with Ultralytics YOLO's MixAndRectDataset.
+---
+
 # MixAndRectDataset
 ---
 :::ultralytics.yolo.data.dataset_wrappers.MixAndRectDataset
-<br><br>
+<br><br>

docs/reference/yolo/data/utils.md

@@ -1,3 +1,7 @@
+---
+description: Efficiently handle data in YOLO with Ultralytics. Utilize HUBDatasetStats and customize dataset with these data utility functions.
+---
+
 # HUBDatasetStats
 ---
 :::ultralytics.yolo.data.utils.HUBDatasetStats
@@ -61,4 +65,4 @@
 # zip_directory
 ---
 :::ultralytics.yolo.data.utils.zip_directory
-<br><br>
+<br><br>