Update project title and description

PW42_2025_GranCanaria/Projects/CrowdVsModelGeneratedSBOSegmentation/README.md

@@ -3,21 +3,23 @@ layout: pw42-project
 
 permalink: /:path/
 
-project_title: Write full project title here
+project_title: Comparison of crowd sourced vs. model generated accuracy on abdominal ultrasound
 category: Uncategorized
 
 key_investigators:
-- name: Person Doe
-  affiliation: University
+- name: Jacqueline Foody, Mike Jin
+  affiliation: Centaur Labs/MGB
+  country: USA
 
-- name: Person2 Doe2
-  affiliation: University2
-  country: Spain
+- name: Tina Kapur
+  affiliation: MGA
+  country: USA
 ---
 
 # Project Description
 
-<!-- Add a short paragraph describing the project. -->
+Abdominal ultrasound images were given to a crowd of novice labelers using the Centaur platform to segment the bowel to assist in diagnosis of small bowel obstruction.
+We will compare the accuracy of these crowd sourced labels to those generated by a model, prompted by a segmentation on one frame of a clip.
 
 ## Objective