diff --git a/README.md b/README.md
index cb99ab6..489f94d 100644
--- a/README.md
+++ b/README.md
@@ -21,7 +21,7 @@ While you will need to [sign in](http://groups.csail.mit.edu/vision/datasets/ADE
 Every image and its annotations are inside a `folder_name`, that you can find using `index_ade20k.pkl`. Once you are inside the folder name, for a given image `image_name` (e.g. `ADE_train_00016869`) you will find:
 
 1. `image_name.jpg`: containing the raw image, with blurred license plates and faces (e.g. [ADE_train_00016869.jpg](./dataset/ADE20K_2021_17_01/images/ADE/training/urban/street/ADE_train_00016869.jpg))
-2. `image_name_seg.png`: with the pixel-wise annotations of objects and instances (e.g. [ADE_train_00016869_seg.png](./dataset/ADE20K_2021_17_01/images/ADE/training/urban/street/ADE_train_00016869_seg.png)). The RGB channels encode the class and instance information. Check out (`utils/utils_ade20k.py`)[utils/utils_ade20k.py] for an example on how to read those.
+2. `image_name_seg.png`: with the pixel-wise annotations of objects and instances (e.g. [ADE_train_00016869_seg.png](./dataset/ADE20K_2021_17_01/images/ADE/training/urban/street/ADE_train_00016869_seg.png)). The RGB channels encode the class and instance information. Check out [`utils/utils_ade20k.py`](utils/utils_ade20k.py) for an example on how to read those.
 3. `image_name_parts_{i}.png`: with the annotation of the parts at level `i` (e.g. [ADE_train_00016869_parts_1.png](dataset/ADE20K_2021_17_01/images/ADE/training/urban/street/ADE_train_00016869_parts_1.png)).
 4. `image_name`: a folder with all the instances in that image, stored as pngs encoding a binary amodal mask (showing occluded objects) (e.g. [ADE_train_00016869](dataset/ADE20K_2021_17_01/images/ADE/training/urban/street/ADE_train_00016869)).
 5. `image_name.json`: a json file containing information about the time the object was annotated, the polygons annotated, annotation of attributes etc. (e.g [ADE_train_00016869.json](dataset/ADE20K_2021_17_01/images/ADE/training/urban/street/ADE_train_00016869.json)).