Update README.md

README.md

@@ -6,6 +6,7 @@ This model is an object detection model trained with tensorflow object detection
 - Model description:
 - Developed by: Spotlab
 - Model type: SSD mobilenet v2
+- Model input: image resized to 640 and normalized to with mean=127.5 and std = 127.5.
 - Classes: Loa loa, Mansonella perstans, Wuchereria bancrofti, Brugia malayi
 - Datasets:
   - Training set: 1203 field of view images (400 magnification) from 85 independent samples with 906 L. loa, 378 M. perstans, 35 W. bancrofti, and 58 B. malayi parasites.
@@ -18,5 +19,8 @@ This model is an object detection model trained with tensorflow object detection
 Example predictions:
 
 ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6509bcfc7e0d56c2717248be/slb8ctbS0gQNcCmMK8FoB.jpeg)
-
 ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6509bcfc7e0d56c2717248be/oLUSS4u9AM445iSVraDhy.jpeg)
+
+You can create your own android app to run this model following this tutorial: (TensorFlow Lite Object Detection Android Demo
+)[https://github.com/tensorflow/examples/tree/master/lite/examples/object_detection/android]
+