Add Ultralytics HUB to README (#10070)

* Add Ultralytics HUB section to README

@pderrenger @kalenmike @AlanDimmer @AyushExel new Ultralytics HUB section in YOLOv5 README.

Signed-off-by: Glenn Jocher <[email protected]>

* Update README.md

Signed-off-by: Glenn Jocher <[email protected]>

* Update README.md

Signed-off-by: Glenn Jocher <[email protected]>

* Update README.md

@AlanDimmer @kalenmike new integrations image

Signed-off-by: Glenn Jocher <[email protected]>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* Update README.md

Signed-off-by: Glenn Jocher <[email protected]>

* Update tutorial.ipynb

Signed-off-by: Glenn Jocher <[email protected]>

* Update tutorial.ipynb

Signed-off-by: Glenn Jocher <[email protected]>

* Update README.md

Signed-off-by: Glenn Jocher <[email protected]>

* Update tutorial.ipynb

Signed-off-by: Glenn Jocher <[email protected]>

* Update README_cn.md

Signed-off-by: Glenn Jocher <[email protected]>

Signed-off-by: Glenn Jocher <[email protected]>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

Author: glenn-jocher

.github/README_cn.md

@@ -144,47 +144,40 @@ python train.py --data coco.yaml --epochs 300 --weights '' --cfg yolov5n.yaml  -
 
 </details>
 
-## <div align="center">环境</div>
 
-使用经过我们验证的环境，几秒钟就可以开始。点击下面的每个图标了解详情。
+## <div align="center">Integrations</div>
 
-<div align="center">
-    <a href="https://colab.research.google.com/github/ultralytics/yolov5/blob/master/tutorial.ipynb">
-        <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-colab-small.png" width="15%"/>
-    </a>
-    <a href="https://www.kaggle.com/ultralytics/yolov5">
-        <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-kaggle-small.png" width="15%"/>
-    </a>
-    <a href="https://hub.docker.com/r/ultralytics/yolov5">
-        <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-docker-small.png" width="15%"/>
-    </a>
-    <a href="https://github.com/ultralytics/yolov5/wiki/AWS-Quickstart">
-        <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-aws-small.png" width="15%"/>
-    </a>
-    <a href="https://github.com/ultralytics/yolov5/wiki/GCP-Quickstart">
-        <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-gcp-small.png" width="15%"/>
-    </a>
-</div>
-
-## <div align="center">如何与第三方集成</div>
+<br>
+<a align="center" href="https://bit.ly/ultralytics_hub" target="_blank">
+<img width="100%" src="https://github.com/ultralytics/assets/raw/master/im/integrations-loop.png"></a>
+<br>
+<br>
 
 <div align="center">
-  <a href="https://bit.ly/yolov5-deci-platform">
-    <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-deci.png" width="10%" /></a>
-  <img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="14%" height="0" alt="" />
-  <a href="https://cutt.ly/yolov5-readme-clearml">
-    <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-clearml.png" width="10%" /></a>
-  <img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="14%" height="0" alt="" />
   <a href="https://roboflow.com/?ref=ultralytics">
     <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-roboflow.png" width="10%" /></a>
-  <img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="14%" height="0" alt="" />
-  <a href="https://wandb.ai/site?utm_campaign=repo_yolo_readme">
-    <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-wb.png" width="10%" /></a>
+  <img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="15%" height="0" alt="" />
+  <a href="https://cutt.ly/yolov5-readme-clearml">
+    <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-clearml.png" width="10%" /></a>
+  <img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="15%" height="0" alt="" />
+  <a href="https://bit.ly/yolov5-readme-comet">
+    <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-comet.png" width="10%" /></a>
+  <img src="https://github.com/ultralytics/assets/raw/master/social/logo-transparent.png" width="15%" height="0" alt="" />
+  <a href="https://bit.ly/yolov5-deci-platform">
+    <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-deci.png" width="10%" /></a>
 </div>
 
-|Deci ⭐ NEW|ClearML ⭐ NEW|Roboflow|Weights & Biases
+|Roboflow|ClearML ⭐ NEW|Comet ⭐ NEW|Deci ⭐ NEW|
 |:-:|:-:|:-:|:-:|
-|在[Deci](https://bit.ly/yolov5-deci-platform)一键自动编译和量化YOLOv5以提高推理性能|使用[ClearML](https://cutt.ly/yolov5-readme-clearml) (开源!)自动追踪，可视化，以及远程训练YOLOv5|标记并将您的自定义数据直接导出到YOLOv5后，用[Roboflow](https://roboflow.com/?ref=ultralytics)进行训练 |通过[Weights & Biases](https://wandb.ai/site?utm_campaign=repo_yolo_readme)自动跟踪以及可视化你在云端所有的YOLOv5训练运行情况
+|Label and export your custom datasets directly to YOLOv5 for training with [Roboflow](https://roboflow.com/?ref=ultralytics)|Automatically track, visualize and even remotely train YOLOv5 using [ClearML](https://cutt.ly/yolov5-readme-clearml) (open-source!)|Free forever, [Comet](https://bit.ly/yolov5-readme-comet) lets you save YOLOv5 models, resume training, and interactively visualise and debug predictions|Automatically compile and quantize YOLOv5 for better inference performance in one click at [Deci](https://bit.ly/yolov5-deci-platform)|
+
+
+## <div align="center">Ultralytics HUB</div>
+
+[Ultralytics HUB](https://bit.ly/ultralytics_hub) is our ⭐ **NEW** no-code solution to visualize datasets, train YOLOv5 🚀 models, and deploy to the real world in a seamless experience. Get started for **Free** now!
+
+<a align="center" href="https://bit.ly/ultralytics_hub" target="_blank">
+<img width="100%" src="https://user-images.githubusercontent.com/107626595/198593785-1463295f-cd43-4dbc-9b96-b6733c5720bf.png"></a>
 
 
 ## <div align="center">为什么选择 YOLOv5</div>

README.md

@@ -52,9 +52,7 @@
 
 ## <div align="center">Documentation</div>
 
-See the [YOLOv5 Docs](https://docs.ultralytics.com) for full documentation on training, testing and deployment.
-
-## <div align="center">Quick Start Examples</div>
+See the [YOLOv5 Docs](https://docs.ultralytics.com) for full documentation on training, testing and deployment. See below for quickstart examples.
 
 <details open>
 <summary>Install</summary>
@@ -71,7 +69,7 @@ pip install -r requirements.txt  # install
 
 </details>
 
-<details open>
+<details>
 <summary>Inference</summary>
 
 YOLOv5 [PyTorch Hub](https://github.com/ultralytics/yolov5/issues/36) inference. [Models](https://github.com/ultralytics/yolov5/tree/master/models) download automatically from the latest
@@ -163,7 +161,11 @@ python train.py --data coco.yaml --epochs 300 --weights '' --cfg yolov5n.yaml  -
 
 ## <div align="center">Integrations</div>
 
-<img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/image-integrations-loop.png" width="100%" />
+<br>
+<a align="center" href="https://bit.ly/ultralytics_hub" target="_blank">
+<img width="100%" src="https://github.com/ultralytics/assets/raw/master/im/integrations-loop.png"></a>
+<br>
+<br>
 
 <div align="center">
   <a href="https://roboflow.com/?ref=ultralytics">
@@ -184,6 +186,14 @@ python train.py --data coco.yaml --epochs 300 --weights '' --cfg yolov5n.yaml  -
 |Label and export your custom datasets directly to YOLOv5 for training with [Roboflow](https://roboflow.com/?ref=ultralytics)|Automatically track, visualize and even remotely train YOLOv5 using [ClearML](https://cutt.ly/yolov5-readme-clearml) (open-source!)|Free forever, [Comet](https://bit.ly/yolov5-readme-comet) lets you save YOLOv5 models, resume training, and interactively visualise and debug predictions|Automatically compile and quantize YOLOv5 for better inference performance in one click at [Deci](https://bit.ly/yolov5-deci-platform)|
 
 
+## <div align="center">Ultralytics HUB</div>
+
+[Ultralytics HUB](https://bit.ly/ultralytics_hub) is our ⭐ **NEW** no-code solution to visualize datasets, train YOLOv5 🚀 models, and deploy to the real world in a seamless experience. Get started for **Free** now!
+
+<a align="center" href="https://bit.ly/ultralytics_hub" target="_blank">
+<img width="100%" src="https://user-images.githubusercontent.com/107626595/198593785-1463295f-cd43-4dbc-9b96-b6733c5720bf.png"></a>
+
+
 ## <div align="center">Why YOLOv5</div>
 
 YOLOv5 has been designed to be super easy to get started and simple to learn. We prioritize real-world results.

segment/tutorial.ipynb

@@ -232,7 +232,7 @@
    "source": [
     "# 3. Train\n",
     "\n",
-    "<p align=\"\"><a href=\"https://roboflow.com/?ref=ultralytics\"><img width=\"1000\" src=\"https://uploads-ssl.webflow.com/5f6bc60e665f54545a1e52a5/615627e5824c9c6195abfda9_computer-vision-cycle.png\"/></a></p>\n",
+    "<p align=\"\"><a href=\"https://roboflow.com/?ref=ultralytics\"><img width=\"1000\" src=\"https://github.com/ultralytics/assets/raw/master/im/integrations-loop.png\"/></a></p>\n",
     "Close the active learning loop by sampling images from your inference conditions with the `roboflow` pip package\n",
     "<br><br>\n",
     "\n",

tutorial.ipynb

@@ -626,7 +626,7 @@
       "source": [
         "# 3. Train\n",
         "\n",
-        "<p align=\"\"><a href=\"https://roboflow.com/?ref=ultralytics\"><img width=\"1000\" src=\"https://uploads-ssl.webflow.com/5f6bc60e665f54545a1e52a5/615627e5824c9c6195abfda9_computer-vision-cycle.png\"/></a></p>\n",
+        "<p align=\"\"><a href=\"https://roboflow.com/?ref=ultralytics\"><img width=\"1000\" src=\"https://github.com/ultralytics/assets/raw/master/im/integrations-loop.png\"/></a></p>\n",
         "Close the active learning loop by sampling images from your inference conditions with the `roboflow` pip package\n",
         "<br><br>\n",
         "\n",