diff --git a/README.md b/README.md
index b3a1a6b02c..844c442fdc 100644
--- a/README.md
+++ b/README.md
@@ -272,7 +272,7 @@ To verify and configure GPU support for Docker, please follow the instructions p
 Once Docker is configured to use GPUs, you can run docTR Docker containers with GPU support:
 
 ```shell
-docker run --it --gpus all ghcr.io/mindee/doctr:tf-py3.8.18-gpu-2023-09 bash
+docker run -it --gpus all ghcr.io/mindee/doctr:tf-py3.8.18-gpu-2023-09 bash
 ```
 
 #### Available Tags
diff --git a/docs/source/modules/datasets.rst b/docs/source/modules/datasets.rst
index 852ccd3841..94beaf6a2f 100644
--- a/docs/source/modules/datasets.rst
+++ b/docs/source/modules/datasets.rst
@@ -34,6 +34,8 @@ doctr.datasets
 
 .. autoclass:: DocArtefacts
 
+.. autoclass:: WILDRECEIPT
+
 Synthetic dataset generator
 ---------------------------
 
diff --git a/doctr/datasets/wildreceipt.py b/doctr/datasets/wildreceipt.py
index a802290110..496ddd87b2 100644
--- a/doctr/datasets/wildreceipt.py
+++ b/doctr/datasets/wildreceipt.py
@@ -21,6 +21,9 @@ class WILDRECEIPT(AbstractDataset):
         <https://arxiv.org/abs/2103.14470v1>`_ |
     `repository <https://download.openmmlab.com/mmocr/data/wildreceipt.tar>`_.
 
+    .. image:: https://doctr-static.mindee.com/models?id=v0.7.0/wildreceipt-dataset.jpg&src=0
+        :align: center
+
     >>> # NOTE: You need to download the dataset first.
     >>> from doctr.datasets import WILDRECEIPT
     >>> train_set = WILDRECEIPT(train=True, img_folder="/path/to/wildreceipt/",