make disclaimer on usage prominent

README.md

@@ -147,6 +147,11 @@ dataset_info:
 ### Dataset Summary
 GLENDA (Gynecologic Laparoscopy ENdometriosis DAtaset) comprises over 350 annotated endometriosis lesion images taken from 100+ gynecologic laparoscopy surgeries as well as over 13K unannotated non pathological images of 20+ surgeries. The dataset is purposefully created to be utilized for a variety of automatic content analysis problems in the context of Endometriosis recognition.
 
+**Usage Information (Disclaimer)**
+
+The dataset is exclusively provided for scientific research purposes and as such cannot be used commercially or for any other purpose. If any other purpose is intended, you may directly contact the originator of the videos. 
+For additional information (including contact information), please visit [the official website](http://ftp.itec.aau.at/datasets/GLENDA/index.html).
+
 **Description**
 
 Endometriosis is a benign but potentially painful condition among women in child bearing age involving the growth of uterine-like tissue in locations outside of the uterus. Corresponding lesions can be found in various positions and severities, often in multiple instances per patient requiring a physician to determine its extent. This most frequently is accomplished by calculating its magnitude via utilizing the combination of two popular classification systems, the revised American Society for Reproductive Medicine (rASRM) and the European Enzian scores. Endometriosis can not reliably identified by laymen, therefore, the dataset has been created with the help of medical experts in the field of endometriosis treatment.
@@ -252,4 +257,4 @@ For additional information, please visit the [official website](http://ftp.itec.
 	title = {GLENDA: Gynecologic Laparoscopy Endometriosis Dataset},
 	year = {2020}
 }
-```
+```