updated readme

README.md

@@ -129,14 +129,14 @@ The coordinates are normalized by the image width and height: x / image_width an
 
 #### Training on your own dataset
 
-To train on your own dataset, simply create the same folder structure for your data and adjust the paths in cfg/[OBJECT].data, [DATASET]/[OBJECT]/train.txt and [DATASET]/[OBJECT]/test.txt files. The folder for each object should contain the following: 
+To train on your own dataset, simply create the same folder structure with the provided LINEMOD dataset and adjust the paths in cfg/[OBJECT].data, [DATASET]/[OBJECT]/train.txt and [DATASET]/[OBJECT]/test.txt files. The folder for each object should contain the following: 
 
 (1) a folder containing image files,  
-(2) a folder containing label files for each image (labels should be created using the same output representation explained above),  
-(3) optionally, a folder containing segmentation masks for each image (if you want to change the background of your training images to be more robust to diverse backgrounds),  
-(4) a text file containing the training images (train.txt),  
-(5) a text file contraining the test images (test.txt),  
-(6) a .ply file containing the 3D object model  
+(2) a folder containing label files  (labels should be created using the same output representation explained above),  
+(3) a text file containing the training images (train.txt),  
+(4) a text file contraining the test images (test.txt),  
+(5) a .ply file containing the 3D object model  
+(6) optionally, a folder containing segmentation masks (if you want to change the background of your training images to be more robust to diverse backgrounds),  
 
 #### Acknowledgments