YAML reformat

.github/workflows/ci.yaml

@@ -9,8 +9,7 @@ on:
     branches: [main]
   workflow_dispatch:
   schedule:
-    - cron: '0 2 * * *'  # runs every 24 hours, starting at 02:00 UTC
-
+    - cron: "0 2 * * *" # runs every 24 hours, starting at 02:00 UTC
 
 jobs:
   Tests:
@@ -19,14 +18,14 @@ jobs:
       fail-fast: false
       matrix:
         os: [ubuntu-latest]
-        python-version: ['3.11']
+        python-version: ["3.11"]
     timeout-minutes: 60
     steps:
       - uses: actions/checkout@v4
       - uses: actions/setup-python@v5
         with:
           python-version: ${{ matrix.python-version }}
-          cache: 'pip' # caching pip dependencies
+          cache: "pip" # caching pip dependencies
       - name: Install requirements
         run: |
           python -m pip install --upgrade pip wheel

.github/workflows/format.yml

@@ -6,9 +6,9 @@ name: Ultralytics Actions
 
 on:
   push:
-    branches: [main,master]
+    branches: [main, master]
   pull_request:
-    branches: [main,master]
+    branches: [main, master]
 
 jobs:
   format:
@@ -17,7 +17,7 @@ jobs:
       - name: Run Ultralytics Formatting
         uses: ultralytics/actions@main
         with:
-          token: ${{ secrets.GITHUB_TOKEN }}  # automatically generated
+          token: ${{ secrets.GITHUB_TOKEN }} # automatically generated
           python: true
           docstrings: true
           markdown: true

.github/workflows/links.yml

@@ -12,7 +12,7 @@ name: Check Broken links
 on:
   workflow_dispatch:
   schedule:
-    - cron: '0 0 * * *'  # runs at 00:00 UTC every day
+    - cron: "0 0 * * *" # runs at 00:00 UTC every day
 
 jobs:
   Links:

.github/workflows/stale.yml

@@ -3,7 +3,7 @@
 name: Close stale issues
 on:
   schedule:
-    - cron: '0 0 * * *'  # Runs at 00:00 UTC every day
+    - cron: "0 0 * * *" # Runs at 00:00 UTC every day
 
 jobs:
   stale:
@@ -43,5 +43,5 @@ jobs:
           days-before-issue-close: 10
           days-before-pr-stale: 90
           days-before-pr-close: 30
-          exempt-issue-labels: 'documentation,tutorial,TODO'
-          operations-per-run: 300  # The maximum number of operations per run, used to control rate limiting.
+          exempt-issue-labels: "documentation,tutorial,TODO"
+          operations-per-run: 300 # The maximum number of operations per run, used to control rate limiting.

README.md

@@ -61,10 +61,10 @@ The dataset YAML follows the established YOLOv5 and YOLOv8 format. For exhaustiv
 
 ```yaml
 # YAML configuration example for custom datasets
-path:  # dataset root dir (leave empty for HUB integration)
-train: images/train  # train images (relative to 'path') 8 images
-val: images/val  # val images (relative to 'path') 8 images
-test:  # test images (optional)
+path: # dataset root dir (leave empty for HUB integration)
+train: images/train # train images (relative to 'path') 8 images
+val: images/val # val images (relative to 'path') 8 images
+test: # test images (optional)
 
 # Class labels
 names:

README.zh-CN.md

@@ -44,10 +44,10 @@ zip -r coco8.zip coco8
 
 ```yaml
 # 自定义数据集的 YAML 配置示例
-path:  # 数据集根目录（集成 HUB 时留空）
-train: images/train  # 训练图片（相对于 'path'）8张图片
-val: images/val  # 验证图片（相对于 'path'）8张图片
-test:  # 测试图片（可选）
+path: # 数据集根目录（集成 HUB 时留空）
+train: images/train # 训练图片（相对于 'path'）8张图片
+val: images/val # 验证图片（相对于 'path'）8张图片
+test: # 测试图片（可选）
 
 # 类别标签
 names:

example_datasets/coco8-pose/coco8-pose.yaml

@@ -6,15 +6,14 @@
 # └── datasets
 #     └── coco8-pose  ← downloads here (1 MB)
 
-
 # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
-path:  # dataset root dir (leave empty for HUB)
-train: images/train  # train images (relative to 'path') 4 images
-val: images/val  # val images (relative to 'path') 4 images
-test:  # test images (optional)
+path: # dataset root dir (leave empty for HUB)
+train: images/train # train images (relative to 'path') 4 images
+val: images/val # val images (relative to 'path') 4 images
+test: # test images (optional)
 
 # Keypoints
-kpt_shape: [17, 3]  # number of keypoints, number of dims (2 for x,y or 3 for x,y,visible)
+kpt_shape: [17, 3] # number of keypoints, number of dims (2 for x,y or 3 for x,y,visible)
 flip_idx: [0, 2, 1, 4, 3, 6, 5, 8, 7, 10, 9, 12, 11, 14, 13, 16, 15]
 
 # Classes

example_datasets/coco8-seg/coco8-seg.yaml

@@ -6,12 +6,11 @@
 # └── datasets
 #     └── coco8-seg  ← downloads here (1 MB)
 
-
 # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
-path:  # dataset root dir (leave empty for HUB)
-train: images/train  # train images (relative to 'path') 4 images
-val: images/val  # val images (relative to 'path') 4 images
-test:  # test images (optional)
+path: # dataset root dir (leave empty for HUB)
+train: images/train # train images (relative to 'path') 4 images
+val: images/val # val images (relative to 'path') 4 images
+test: # test images (optional)
 
 # Classes
 names:
@@ -96,6 +95,5 @@ names:
   78: hair drier
   79: toothbrush
 
-
 # Download script/URL (optional)
 download:

example_datasets/coco8/coco8.yaml

@@ -6,12 +6,11 @@
 # └── datasets
 #     └── coco8  ← downloads here (1 MB)
 
-
 # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
-path:  # dataset root dir (leave empty for HUB)
-train: images/train  # train images (relative to 'path') 4 images
-val: images/val  # val images (relative to 'path') 4 images
-test:  # test images (optional)
+path: # dataset root dir (leave empty for HUB)
+train: images/train # train images (relative to 'path') 4 images
+val: images/val # val images (relative to 'path') 4 images
+test: # test images (optional)
 
 # Classes
 names:
@@ -96,6 +95,5 @@ names:
   78: hair drier
   79: toothbrush
 
-
 # Download script/URL (optional)
 download:

example_datasets/dota8/dota8.yaml

@@ -7,8 +7,8 @@
 # └── datasets
 #     └── dota8  ← downloads here (1MB)
 
-train: images/train  # train images (relative to 'path') 4 images
-val: images/val  # val images (relative to 'path') 4 images
+train: images/train # train images (relative to 'path') 4 images
+val: images/val # val images (relative to 'path') 4 images
 
 # Classes for DOTA 1.0
 names: