ultralytics 8.0.136 refactor and simplify package (#3748)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

docs/datasets/detect/argoverse.md

@@ -29,12 +29,12 @@ The Argoverse dataset is widely used for training and evaluating deep learning m
 
 ## Dataset YAML
 
-A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. For the case of the Argoverse dataset, the `Argoverse.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/datasets/Argoverse.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/datasets/Argoverse.yaml).
+A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. For the case of the Argoverse dataset, the `Argoverse.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/Argoverse.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/Argoverse.yaml).
 
-!!! example "ultralytics/datasets/Argoverse.yaml"
+!!! example "ultralytics/cfg/datasets/Argoverse.yaml"
 
     ```yaml
-    --8<-- "ultralytics/datasets/Argoverse.yaml"
+    --8<-- "ultralytics/cfg/datasets/Argoverse.yaml"
     ```
 
 ## Usage

docs/datasets/detect/coco.md

@@ -29,12 +29,12 @@ The COCO dataset is widely used for training and evaluating deep learning models
 
 ## Dataset YAML
 
-A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. In the case of the COCO dataset, the `coco.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/datasets/coco.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/datasets/coco.yaml).
+A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. In the case of the COCO dataset, the `coco.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco.yaml).
 
-!!! example "ultralytics/datasets/coco.yaml"
+!!! example "ultralytics/cfg/datasets/coco.yaml"
 
     ```yaml
-    --8<-- "ultralytics/datasets/coco.yaml"
+    --8<-- "ultralytics/cfg/datasets/coco.yaml"
     ```
 
 ## Usage

docs/datasets/detect/coco8.md

@@ -19,12 +19,12 @@ and [YOLOv8](https://github.com/ultralytics/ultralytics).
 
 ## Dataset YAML
 
-A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. In the case of the COCO8 dataset, the `coco8.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/datasets/coco8.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/datasets/coco8.yaml).
+A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. In the case of the COCO8 dataset, the `coco8.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco8.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco8.yaml).
 
-!!! example "ultralytics/datasets/coco8.yaml"
+!!! example "ultralytics/cfg/datasets/coco8.yaml"
 
     ```yaml
-    --8<-- "ultralytics/datasets/coco8.yaml"
+    --8<-- "ultralytics/cfg/datasets/coco8.yaml"
     ```
 
 ## Usage

docs/datasets/detect/globalwheat2020.md

@@ -28,12 +28,12 @@ The Global Wheat Head Dataset is widely used for training and evaluating deep le
 
 ## Dataset YAML
 
-A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. For the case of the Global Wheat Head Dataset, the `GlobalWheat2020.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/datasets/GlobalWheat2020.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/datasets/GlobalWheat2020.yaml).
+A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. For the case of the Global Wheat Head Dataset, the `GlobalWheat2020.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/GlobalWheat2020.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/GlobalWheat2020.yaml).
 
-!!! example "ultralytics/datasets/GlobalWheat2020.yaml"
+!!! example "ultralytics/cfg/datasets/GlobalWheat2020.yaml"
 
     ```yaml
-    --8<-- "ultralytics/datasets/GlobalWheat2020.yaml"
+    --8<-- "ultralytics/cfg/datasets/GlobalWheat2020.yaml"
     ```
 
 ## Usage

docs/datasets/detect/index.md

@@ -93,7 +93,7 @@ If you have your own dataset and would like to use it for training detection mod
 You can easily convert labels from the popular COCO dataset format to the YOLO format using the following code snippet:
 
 ```python
-from ultralytics.yolo.data.converter import convert_coco
+from ultralytics.data.converter import convert_coco
 
 convert_coco(labels_dir='../coco/annotations/')
 ```

docs/datasets/detect/objects365.md

@@ -28,12 +28,12 @@ The Objects365 dataset is widely used for training and evaluating deep learning
 
 ## Dataset YAML
 
-A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. For the case of the Objects365 Dataset, the `Objects365.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/datasets/Objects365.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/datasets/Objects365.yaml).
+A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. For the case of the Objects365 Dataset, the `Objects365.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/Objects365.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/Objects365.yaml).
 
-!!! example "ultralytics/datasets/Objects365.yaml"
+!!! example "ultralytics/cfg/datasets/Objects365.yaml"
 
     ```yaml
-    --8<-- "ultralytics/datasets/Objects365.yaml"
+    --8<-- "ultralytics/cfg/datasets/Objects365.yaml"
     ```
 
 ## Usage

docs/datasets/detect/sku-110k.md

@@ -30,12 +30,12 @@ The SKU-110k dataset is widely used for training and evaluating deep learning mo
 
 ## Dataset YAML
 
-A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. For the case of the SKU-110K dataset, the `SKU-110K.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/datasets/SKU-110K.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/datasets/SKU-110K.yaml).
+A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. For the case of the SKU-110K dataset, the `SKU-110K.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/SKU-110K.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/SKU-110K.yaml).
 
-!!! example "ultralytics/datasets/SKU-110K.yaml"
+!!! example "ultralytics/cfg/datasets/SKU-110K.yaml"
 
     ```yaml
-    --8<-- "ultralytics/datasets/SKU-110K.yaml"
+    --8<-- "ultralytics/cfg/datasets/SKU-110K.yaml"
     ```
 
 ## Usage

docs/datasets/detect/visdrone.md

@@ -26,12 +26,12 @@ The VisDrone dataset is widely used for training and evaluating deep learning mo
 
 ## Dataset YAML
 
-A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. In the case of the Visdrone dataset, the `VisDrone.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/datasets/VisDrone.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/datasets/VisDrone.yaml).
+A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. In the case of the Visdrone dataset, the `VisDrone.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/VisDrone.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/VisDrone.yaml).
 
-!!! example "ultralytics/datasets/VisDrone.yaml"
+!!! example "ultralytics/cfg/datasets/VisDrone.yaml"
 
     ```yaml
-    --8<-- "ultralytics/datasets/VisDrone.yaml"
+    --8<-- "ultralytics/cfg/datasets/VisDrone.yaml"
     ```
 
 ## Usage

docs/datasets/detect/voc.md

@@ -29,12 +29,12 @@ The VOC dataset is widely used for training and evaluating deep learning models
 
 ## Dataset YAML
 
-A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. In the case of the VOC dataset, the `VOC.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/datasets/VOC.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/datasets/VOC.yaml).
+A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. In the case of the VOC dataset, the `VOC.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/VOC.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/VOC.yaml).
 
-!!! example "ultralytics/datasets/VOC.yaml"
+!!! example "ultralytics/cfg/datasets/VOC.yaml"
 
     ```yaml
-    --8<-- "ultralytics/datasets/VOC.yaml"
+    --8<-- "ultralytics/cfg/datasets/VOC.yaml"
     ```
 
 ## Usage

docs/datasets/detect/xview.md

@@ -32,12 +32,12 @@ The xView dataset is widely used for training and evaluating deep learning model
 
 ## Dataset YAML
 
-A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. In the case of the xView dataset, the `xView.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/datasets/xView.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/datasets/xView.yaml).
+A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. In the case of the xView dataset, the `xView.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/xView.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/xView.yaml).
 
-!!! example "ultralytics/datasets/xView.yaml"
+!!! example "ultralytics/cfg/datasets/xView.yaml"
 
     ```yaml
-    --8<-- "ultralytics/datasets/xView.yaml"
+    --8<-- "ultralytics/cfg/datasets/xView.yaml"
     ```
 
 ## Usage

docs/datasets/pose/coco.md

@@ -30,12 +30,12 @@ The COCO-Pose dataset is specifically used for training and evaluating deep lear
 
 ## Dataset YAML
 
-A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. In the case of the COCO-Pose dataset, the `coco-pose.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/datasets/coco-pose.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/datasets/coco-pose.yaml).
+A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. In the case of the COCO-Pose dataset, the `coco-pose.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco-pose.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco-pose.yaml).
 
-!!! example "ultralytics/datasets/coco-pose.yaml"
+!!! example "ultralytics/cfg/datasets/coco-pose.yaml"
 
     ```yaml
-    --8<-- "ultralytics/datasets/coco-pose.yaml"
+    --8<-- "ultralytics/cfg/datasets/coco-pose.yaml"
     ```
 
 ## Usage

docs/datasets/pose/coco8-pose.md

@@ -19,12 +19,12 @@ and [YOLOv8](https://github.com/ultralytics/ultralytics).
 
 ## Dataset YAML
 
-A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. In the case of the COCO8-Pose dataset, the `coco8-pose.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/datasets/coco8-pose.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/datasets/coco8-pose.yaml).
+A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. In the case of the COCO8-Pose dataset, the `coco8-pose.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco8-pose.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco8-pose.yaml).
 
-!!! example "ultralytics/datasets/coco8-pose.yaml"
+!!! example "ultralytics/cfg/datasets/coco8-pose.yaml"
 
     ```yaml
-    --8<-- "ultralytics/datasets/coco8-pose.yaml"
+    --8<-- "ultralytics/cfg/datasets/coco8-pose.yaml"
     ```
 
 ## Usage

docs/datasets/pose/index.md

@@ -120,7 +120,7 @@ If you have your own dataset and would like to use it for training pose estimati
 Ultralytics provides a convenient conversion tool to convert labels from the popular COCO dataset format to YOLO format:
 
 ```python
-from ultralytics.yolo.data.converter import convert_coco
+from ultralytics.data.converter import convert_coco
 
 convert_coco(labels_dir='../coco/annotations/', use_keypoints=True)
 ```

docs/datasets/segment/coco.md

@@ -29,12 +29,12 @@ COCO-Seg is widely used for training and evaluating deep learning models in inst
 
 ## Dataset YAML
 
-A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. In the case of the COCO-Seg dataset, the `coco.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/datasets/coco.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/datasets/coco.yaml).
+A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. In the case of the COCO-Seg dataset, the `coco.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco.yaml).
 
-!!! example "ultralytics/datasets/coco.yaml"
+!!! example "ultralytics/cfg/datasets/coco.yaml"
 
     ```yaml
-    --8<-- "ultralytics/datasets/coco.yaml"
+    --8<-- "ultralytics/cfg/datasets/coco.yaml"
     ```
 
 ## Usage

docs/datasets/segment/coco8-seg.md

@@ -19,12 +19,12 @@ and [YOLOv8](https://github.com/ultralytics/ultralytics).
 
 ## Dataset YAML
 
-A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. In the case of the COCO8-Seg dataset, the `coco8-seg.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/datasets/coco8-seg.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/datasets/coco8-seg.yaml).
+A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. In the case of the COCO8-Seg dataset, the `coco8-seg.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco8-seg.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco8-seg.yaml).
 
-!!! example "ultralytics/datasets/coco8-seg.yaml"
+!!! example "ultralytics/cfg/datasets/coco8-seg.yaml"
 
     ```yaml
-    --8<-- "ultralytics/datasets/coco8-seg.yaml"
+    --8<-- "ultralytics/cfg/datasets/coco8-seg.yaml"
     ```
 
 ## Usage

docs/datasets/segment/index.md

@@ -104,7 +104,7 @@ If you have your own dataset and would like to use it for training segmentation
 You can easily convert labels from the popular COCO dataset format to the YOLO format using the following code snippet:
 
 ```python
-from ultralytics.yolo.data.converter import convert_coco
+from ultralytics.data.converter import convert_coco
 
 convert_coco(labels_dir='../coco/annotations/', use_segments=True)
 ```
@@ -122,7 +122,7 @@ Auto-annotation is an essential feature that allows you to generate a segmentati
 To auto-annotate your dataset using the Ultralytics framework, you can use the `auto_annotate` function as shown below:
 
 ```python
-from ultralytics.yolo.data.annotator import auto_annotate
+from ultralytics.data.annotator import auto_annotate
 
 auto_annotate(data="path/to/images", det_model="yolov8x.pt", sam_model='sam_b.pt')
 ```