update repo

README.md

@@ -5,10 +5,22 @@ Yael Ben Shalom, Northwestern University.
 
 ## Project Overview
 This project contains 2 modules:
-1. [**Traffic signs classification**](https://github.com/YaelBenShalom/Traffic-Sign-Recognition-and-Classification/tree/master/traffic_signs_detection/traffic_signs_classification) - In this module I built and trained a neural network to classify different traffic signs using PyTorch.
+1. [**Traffic sign detection and classification**]https://github.com/YaelBenShalom/Objects-Recognition-and-Classification/tree/master/traffic_signs_detection) - In this module I built and trained a neural network to detect and classify different traffic signs using PyTorch, OpenCV and YoloV3.<br>
+This module contained 2 parts:
+    * [traffic sign classification](https://github.com/YaelBenShalom/Objects-Recognition-and-Classification/tree/master/traffic_signs_detection/traffic_signs_classification) - Were I build and trained a neural network to classify different traffic-signs images.
+    * [traffic sign detection](https://github.com/YaelBenShalom/Objects-Recognition-and-Classification/tree/master/traffic_signs_detection/traffic_signs_recognition) - Were I trained neural network to detect different traffic-signs in an image/video.
 
-    ![Traffic-Sign Recognition](https://github.com/YaelBenShalom/Traffic-Sign-Recognition-and-Classification/blob/master/traffic_signs_detection/traffic_signs_recognition/images/traffic-sign.gif?raw=true)
+    An example of traffic detection program output:<br>
+    ![Traffic-Sign Recognition](https://github.com/YaelBenShalom/Objects-Recognition-and-Classification/blob/master/traffic_signs_detection/traffic_signs_recognition/images/traffic-sign.gif)
 
 
-2. [**Traffic signs recognition**](https://github.com/YaelBenShalom/Traffic-Sign-Recognition-and-Classification/tree/master/traffic_signs_detection/traffic_signs_recognition) - In this module I built and trained a neural network to detect and classify different traffic signs using PyTorch and OpenCV.
+2. [**Trash detection, classification and segmentation**](https://github.com/YaelBenShalom/Objects-Recognition-and-Classification/tree/master/trash_detection) - In this module I built and trained a neural network to detect and classify different traffic signs using PyTorch, OpenCV and YoloV5.<br>
+This module contained 2 parts:
+    * [trash classification](https://github.com/YaelBenShalom/Objects-Recognition-and-Classification/tree/master/traffic_signs_detection/traffic_signs_classification) - Were I build and trained a neural network to classify different recycable objects' images.
+    * [trash detection](https://github.com/YaelBenShalom/Objects-Recognition-and-Classification/tree/master/traffic_signs_detection/traffic_signs_recognition) - Were I trained neural network to detect different recycable objects in an image/video.
+
+    An example of trash detection program output:<br>
+    ![Trash Recognition](https://github.com/YaelBenShalom/Objects-Recognition-and-Classification/blob/master/trash_detection/trash_recognition/images/real-time%20detection.gif)
+
+    As an additional development of the [Recycler Baxter](https://github.com/YaelBenShalom/Recycler-Baxter) project, I used the ML algorithm I implemented in this project to detect and locate the recycable objects sorted by the baxter robot: