Update README.md

README.md

@@ -42,8 +42,9 @@ SegmentationClass: Contains PNG images with annotations.
 ImageSets: Contains TXT records for data partitioning.
 
 ## Data Collection and Processing
-The main goal is to combine all the files into three datasets (train, test, validation) with two columns of images. The first step is to write a csv file containing all the labels for all images. I first write this csv file using the csv.ipynb file. 
+The main goal is to combine all the files into three datasets (train, test, validation) with two columns of images. The first step is to write a csv file containing all the labels for all images.  
 After that, according to the csv file, we split all the images into three folders of train, test, validation. Each folder contains two groups of files: pictureid_original.jpg, and pictureid_segmentation.jpg.
+All the data processing code is uploaded in the Project1_dataset.ipynb file.
 I then upload the zip file of these three folders and read those files in the load_dataset function.