Update Comet links (#9587)

README.md

@@ -168,7 +168,7 @@ python train.py --data coco.yaml --cfg yolov5n.yaml --weights '' --batch-size 12
 <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/image-integrations-loop.png" width="100%" />
 
 <div align="center">
-  <a href="https://bit.ly/yolov5-deci-platform">
+  <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="9%" height="0" alt="" />
   <a href="https://bit.ly/yolov5-deci-platform">
@@ -186,7 +186,7 @@ python train.py --data coco.yaml --cfg yolov5n.yaml --weights '' --batch-size 12
 
 |Comet ⭐ NEW|Deci ⭐ NEW|ClearML ⭐ NEW|Roboflow|Weights & Biases
 |:-:|:-:|:-:|:-:|:-:|
-|Visualize model metrics and predictions and upload models and datasets in realtime with [Comet](https://www.comet.com/site/?ref=yolov5&utm_source=yolov5&utm_medium=affilliate&utm_campaign=yolov5_comet_integration)|Automatically compile and quantize YOLOv5 for better inference performance in one click at [Deci](https://bit.ly/yolov5-deci-platform)|Automatically track, visualize and even remotely train YOLOv5 using [ClearML](https://cutt.ly/yolov5-readme-clearml) (open-source!)|Label and export your custom datasets directly to YOLOv5 for training with [Roboflow](https://roboflow.com/?ref=ultralytics) |Automatically track and visualize all your YOLOv5 training runs in the cloud with [Weights & Biases](https://wandb.ai/site?utm_campaign=repo_yolo_readme)
+|Visualize model metrics and predictions and upload models and datasets in realtime with [Comet](https://bit.ly/yolov5-readme-comet)|Automatically compile and quantize YOLOv5 for better inference performance in one click at [Deci](https://bit.ly/yolov5-deci-platform)|Automatically track, visualize and even remotely train YOLOv5 using [ClearML](https://cutt.ly/yolov5-readme-clearml) (open-source!)|Label and export your custom datasets directly to YOLOv5 for training with [Roboflow](https://roboflow.com/?ref=ultralytics) |Automatically track and visualize all your YOLOv5 training runs in the cloud with [Weights & Biases](https://wandb.ai/site?utm_campaign=repo_yolo_readme)
 
 
 ## <div align="center">Why YOLOv5</div>

tutorial.ipynb

@@ -865,7 +865,7 @@
       "cell_type": "markdown",
       "source": [
         "## Comet Logging and Visualization 🌟 NEW\n",
-        "[Comet](https://www.comet.com/site/?ref=yolov5&utm_source=yolov5&utm_medium=affilliate&utm_campaign=yolov5_comet_integration) is now fully integrated with YOLOv5. Track and visualize model metrics in real time, save your hyperparameters, datasets, and model checkpoints, and visualize your model predictions with [Comet Custom Panels](https://www.comet.com/docs/v2/guides/comet-dashboard/code-panels/about-panels/?ref=yolov5&utm_source=yolov5&utm_medium=affilliate&utm_campaign=yolov5_comet_integration)! Comet makes sure you never lose track of your work and makes it easy to share results and collaborate across teams of all sizes! \n",
+        "[Comet](https://bit.ly/yolov5-readme-comet) is now fully integrated with YOLOv5. Track and visualize model metrics in real time, save your hyperparameters, datasets, and model checkpoints, and visualize your model predictions with [Comet Custom Panels](https://bit.ly/yolov5-colab-comet-panels)! Comet makes sure you never lose track of your work and makes it easy to share results and collaborate across teams of all sizes! \n",
         "\n",
         "Getting started is easy:\n",
         "```shell\n",
@@ -874,7 +874,7 @@
         "python train.py --img 640 --epochs 3 --data coco128.yaml --weights yolov5s.pt  # 3. train\n",
         "```\n",
         "\n",
-        "To learn more about all of the supported Comet features for this integration, check out the [Comet Tutorial](https://github.com/ultralytics/yolov5/tree/master/utils/loggers/comet). If you'd like to learn more about Comet, head over to our [documentation](https://www.comet.com/docs/v2/?ref=yolov5&utm_source=yolov5&utm_medium=affilliate&utm_campaign=yolov5_comet_integration). Get started by trying out the Comet Colab Notebook:\n",
+        "To learn more about all of the supported Comet features for this integration, check out the [Comet Tutorial](https://github.com/ultralytics/yolov5/tree/master/utils/loggers/comet). If you'd like to learn more about Comet, head over to our [documentation](https://bit.ly/yolov5-colab-comet-docs). Get started by trying out the Comet Colab Notebook:\n",
         "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1RG0WOQyxlDlo5Km8GogJpIEJlg_5lyYO?usp=sharing)\n",
         "\n",
         "<img width=\"1920\" alt=\"yolo-ui\" src=\"https://user-images.githubusercontent.com/7529846/187608607-ff89c3d5-1b8b-4743-a974-9275301b0524.png\">"

utils/loggers/comet/README.md

@@ -2,13 +2,13 @@
 
 # YOLOv5 with Comet
 
-This guide will cover how to use YOLOv5 with [Comet](https://www.comet.com/site/?ref=yolov5&utm_source=yolov5&utm_medium=affilliate&utm_campaign=yolov5_comet_integration)
+This guide will cover how to use YOLOv5 with [Comet](https://bit.ly/yolov5-readme-comet)
 
 # About Comet
 
 Comet builds tools that help data scientists, engineers, and team leaders accelerate and optimize machine learning and deep learning models.
 
-Track and visualize model metrics in real time, save your hyperparameters, datasets, and model checkpoints, and visualize your model predictions with [Comet Custom Panels](https://www.comet.com/examples/comet-example-yolov5?shareable=YcwMiJaZSXfcEXpGOHDD12vA1&ref=yolov5&utm_source=yolov5&utm_medium=affilliate&utm_campaign=yolov5_comet_integration)!
+Track and visualize model metrics in real time, save your hyperparameters, datasets, and model checkpoints, and visualize your model predictions with [Comet Custom Panels](https://bit.ly/yolov5-colab-comet-panels)!
 Comet makes sure you never lose track of your work and makes it easy to share results and collaborate across teams of all sizes!
 
 # Getting Started
@@ -253,4 +253,4 @@ comet optimizer -j <set number of workers> utils/loggers/comet/hpo.py \
 
 Comet provides a number of ways to visualize the results of your sweep. Take a look at a [project with a completed sweep here](https://www.comet.com/examples/comet-example-yolov5/view/PrlArHGuuhDTKC1UuBmTtOSXD/panels?ref=yolov5&utm_source=yolov5&utm_medium=affilliate&utm_campaign=yolov5_comet_integration)
 
-<img width="1626" alt="hyperparameter-yolo" src="https://user-images.githubusercontent.com/7529846/186914869-7dc1de14-583f-4323-967b-c9a66a29e495.png">
\ No newline at end of file
+<img width="1626" alt="hyperparameter-yolo" src="https://user-images.githubusercontent.com/7529846/186914869-7dc1de14-583f-4323-967b-c9a66a29e495.png">