Replace 'supervise.ly' with 'supervisely.com'

README.md

@@ -11,27 +11,27 @@
   <a href="#How-To-Use">How To Use</a>
 </p>
 
-[![](https://img.shields.io/badge/slack-chat-green.svg?logo=slack)](https://supervise.ly/slack)
+[![](https://img.shields.io/badge/slack-chat-green.svg?logo=slack)](https://supervisely.com/slack)
 ![GitHub release (latest SemVer)](https://img.shields.io/github/v/release/supervisely-ecosystem/convert-supervisely-to-yolov5-format)
-[![views](https://app.supervise.ly/img/badges/views/supervisely-ecosystem/convert-supervisely-to-yolov5-format.png)](https://supervise.ly)
-[![runs](https://app.supervise.ly/img/badges/runs/supervisely-ecosystem/convert-supervisely-to-yolov5-format.png)](https://supervise.ly)
+[![views](https://app.supervisely.com/img/badges/views/supervisely-ecosystem/convert-supervisely-to-yolov5-format.png)](https://supervisely.com)
+[![runs](https://app.supervisely.com/img/badges/runs/supervisely-ecosystem/convert-supervisely-to-yolov5-format.png)](https://supervisely.com)
 
 </div>
 
 ## Overview
 
-Transform images project in Supervisely ([link to format](https://docs.supervise.ly/data-organization/00_ann_format_navi)) to [YOLO v5 format](https://github.com/ultralytics/yolov5/wiki/Train-Custom-Data) and prepares downloadable `tar` archive.
+Transform images project in Supervisely ([link to format](https://docs.supervisely.com/data-organization/00_ann_format_navi)) to [YOLO v5 format](https://github.com/ultralytics/yolov5/wiki/Train-Custom-Data) and prepares downloadable `tar` archive.
 
 
 ## Preparation
 
-Supervisely project have to contain only classes with shape `Rectangle`. It means that all labeled objects have to be bounding boxes. If your project has classes with other shapes and you would like to convert the shapes of these classes and all corresponding objects (e.g. bitmaps or polygons to rectangles), we recommend you to use [`Convert Class Shape`](https://ecosystem.supervise.ly/apps/convert-class-shape) app. 
+Supervisely project have to contain only classes with shape `Rectangle`. It means that all labeled objects have to be bounding boxes. If your project has classes with other shapes and you would like to convert the shapes of these classes and all corresponding objects (e.g. bitmaps or polygons to rectangles), we recommend you to use [`Convert Class Shape`](https://ecosystem.supervisely.com/apps/convert-class-shape) app. 
 
-In addition, YOLO v5 format implies the presence of train/val datasets. Thus, to split images on training and validation datasets you should assign  corresponding tags (`train` or `val`) to images. If image doesn't have such tags, it will be treated as `train`. We recommend to use app [`Assign train/val tags to images`](https://ecosystem.supervise.ly/apps/tag-train-val-test). 
+In addition, YOLO v5 format implies the presence of train/val datasets. Thus, to split images on training and validation datasets you should assign  corresponding tags (`train` or `val`) to images. If image doesn't have such tags, it will be treated as `train`. We recommend to use app [`Assign train/val tags to images`](https://ecosystem.supervisely.com/apps/tag-train-val-test). 
 
 
 ## How To Run 
-**Step 1**: Add app to your team from [Ecosystem](https://ecosystem.supervise.ly/apps/convert-supervisely-to-yolov5-format) if it is not there.
+**Step 1**: Add app to your team from [Ecosystem](https://ecosystem.supervisely.com/apps/convert-supervisely-to-yolov5-format) if it is not there.
 
 **Step 2**: Open context menu of project -> `Download as` -> `Convert Supervisely to YOLO v5 format`