Improve dataset card with task categories, tags, and top-level links (#2)

- Improve dataset card with task categories, tags, and top-level links (c0771e56c243a679c70827e533993b57fccb0d46)


Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>

README.md

@@ -1,8 +1,17 @@
 ---
-title: "DENTEX Dataset"
 license: cc-by-nc-sa-4.0
+title: DENTEX Dataset
+task_categories:
+- object-detection
+- image-classification
+tags:
+- medical
+- x-ray
+- dental
 ---
 
+[Paper](https://huggingface.co/papers/2305.19112) | [Code](https://github.com/ibrahimethemhamamci/DENTEX) | [Project Page](https://dentex.grand-challenge.org)
+
 <p align="center">
   <img src="https://huggingface.co/datasets/ibrahimhamamci/DENTEX/resolve/main/figures/dentex.jpg?download=true" width="100%">
 </p>
@@ -15,8 +24,6 @@ The challenge provides three types of hierarchically annotated data and addition
   <img src="https://huggingface.co/datasets/ibrahimhamamci/DENTEX/resolve/main/figures/output.png?download=true" width="100%">
 </p>
 
-## DENTEX Dataset
-
 The DENTEX dataset comprises panoramic dental X-rays obtained from three different institutions using standard clinical conditions but varying equipment and imaging protocols, resulting in diverse image quality reflecting heterogeneous clinical practice. The dataset includes X-rays from patients aged 12 and above, randomly selected from the hospital's database to ensure patient privacy and confidentiality.
 
 To enable effective use of the FDI system, the dataset is hierarchically organized into three types of data:
@@ -31,7 +38,6 @@ The diagnosis class includes four specific categories: caries, deep caries, peri
   <img src="https://huggingface.co/datasets/ibrahimhamamci/DENTEX/resolve/main/figures/data.png?download=true" width="100%">
 </p>
 
-
 ## Annotation Protocol
 
 The DENTEX dataset provides three hierarchically annotated datasets to support various dental detection tasks: (1) quadrant-only for quadrant detection, (2) quadrant-enumeration for tooth detection, and (3) quadrant-enumeration-diagnosis for abnormal tooth detection. While offering a quadrant detection dataset might appear redundant, it's essential for effectively using the FDI Numbering System. This globally recognized system assigns numbers from 1 through 4 to each mouth quadrant: top right (1), top left (2), bottom left (3), and bottom right (4). Additionally, it numbers each of the eight teeth and each molar from 1 to 8, starting from the front middle tooth and increasing towards the back. For instance, the back tooth on the lower left side is designated as 48 in FDI notation, indicating quadrant 4, tooth 8. Thus, the quadrant segmentation dataset greatly simplifies the dental enumeration task, though evaluations are conducted only on the fully annotated third dataset.
@@ -64,5 +70,4 @@ If you use DENTEX, we would appreciate references to the following papers:
 
 ```
 ## License
-We are committed to fostering innovation and collaboration in the research community. To this end, all elements of the DENTEX dataset are released under a [Creative Commons Attribution (CC-BY-NC-SA) license](https://creativecommons.org/licenses/by-nc-sa/4.0/). This licensing framework ensures that our contributions can be freely used for non-commercial research purposes, while also encouraging contributions and modifications, provided that the original work is properly cited and any derivative works are shared under similar terms.
-
+We are committed to fostering innovation and collaboration in the research community. To this end, all elements of the DENTEX dataset are released under a [Creative Commons Attribution (CC-BY-NC-SA) license](https://creativecommons.org/licenses/by-nc-sa/4.0/). This licensing framework ensures that our contributions can be freely used for non-commercial research purposes, while also encouraging contributions and modifications, provided that the original work is properly cited and any derivative works are shared under similar terms.