diff --git a/Configuration.md b/Configuration.md
index 2685bcb..613ed07 100644
--- a/Configuration.md
+++ b/Configuration.md
@@ -172,6 +172,14 @@ const config: Config = {
     skipFrames: 41,          // how many max frames to go without re-running the detector
                              // only used when cacheSensitivity is not zero
   },
+
+  segmentation: {
+    enabled: false,          // if segmentation is enabled, output result.canvas will be augmented
+                             // with masked image containing only person output
+    modelPath: 'selfie.json',  // experimental: object detection model, can be absolute path or relative to modelBasePath
+                             // can be 'selfie' or 'meet'
+  },
+
 };
 ```
 
diff --git a/Models.md b/Models.md
index e61f1da..0d7c242 100644
--- a/Models.md
+++ b/Models.md
@@ -25,7 +25,7 @@ All models are modified from original implementation in following manner:
 - Output interpolation: custom smoothing operations
 - Model modifications:
   - Model definition: reformatted for readability, added conversion notes and correct signatures
-  - Model weights: quantized to 16-bit float for size reduction
+  - Model weights: quantized to 16-bit float values for size reduction
 
 Models are not re-trained so any bias included in the original models is present in `Human`  
 *For any possible bias notes, see specific model cards*  
@@ -108,6 +108,8 @@ but can be switched on-the-fly due to standardized output implementation
 - Body Pose Detection: [**PoseNet**](https://medium.com/tensorflow/real-time-human-pose-estimation-in-the-browser-with-tensorflow-js-7dd0bc881cd5)
 - Body Pose Detection: [**MoveNet**](https://blog.tensorflow.org/2021/05/next-generation-pose-detection-with-movenet-and-tensorflowjs.html)
 - Body Pose Detection: [**EfficientPose**](https://github.com/daniegr/EfficientPose)
+- Body Segmentation: [**MediaPipe Meet**](https://drive.google.com/file/d/1lnP1bRi9CSqQQXUHa13159vLELYDgDu0/preview)
+- Body Segmentation: [**MediaPipe Selfie**](https://drive.google.com/file/d/1dCfozqknMa068vVsO2j_1FgZkW_e3VWv/preview)
 - Age & Gender Prediction: [**SSR-Net**](https://github.com/shamangary/SSR-Net)
 - Emotion Prediction: [**Oarriaga**](https://github.com/oarriaga/face_classification)
 - Face Embedding: [**BecauseofAI MobileFace**](https://github.com/becauseofAI/MobileFace)