Internal change

PiperOrigin-RevId: 477032029

official/projects/waste_identification_ml/README.md

@@ -3,29 +3,28 @@
 Instance segmentation models for identification of recyclables on conveyor
 belts.
 
-Note that these are demo models, reach out to
-waste-innovation-external@google.com for updated versions of the models.
+Note: These are demo models built on limited datasets. If you’re interested in
+updated versions of the models, or in using models trained on specific
+materials, reach out to waste-innovation-external@google.com
 
 ## Overview
 
-Mask RCNN is a state-of-art deep learning model for instance image segmentation,
-where the goal is to assign instance level labels ( e.g. person1, person2, cat)
-to every pixel in an input image. Mask RCNN algorithm is available in the
-TensorFlow Model Garden which is a repository with a number of different
-implementations of state-of-the-art models and modeling solutions for TensorFlow
-users.
+CircularNet is built using Mask RCNN, which is a deep learning model for
+instance image segmentation, where the goal is to assign instance level labels
+(e.g. person1, person2, cat) to every pixel in an input image.
 
-## Model Categories
+Mask RCNN algorithm is available in the TensorFlow Model Garden which is a
+repository with a number of different implementations of state-of-the-art models
+and modeling solutions for TensorFlow users.
 
--   Material model - Detects the high level category (e.g. plastic, paper, etc)
-    of an object according to its material type.
--   Material Form model - Detects the category of the of an object according to
-    its physical product formation (e.g. cup, plate, pen, etc).
--   Plastic model - Detects the category of a object according to its plastic
-    types (e.g. HDPE, LDPE, etc)
+## Model Categories
 
-> The goal to develop these models is to bring transparency & traceability in
-the world of  waste recycling.
+-   Material Type - Identifies the high level material type (e.g. plastic, paper
+    etc) of an object
+-   Material Form - Categorizes objects based on the form factor (e.g. cup,
+    bottle, bag etc)
+-   Plastic Type - Identifies the plastic resin type of the object (e.g. PET,
+    HDPE, LDPE, etc)
 
 ## Model paths in GCP buckets