Update README.md

README.md

@@ -13,4 +13,55 @@ tags:
 - smell
 - olfaction
 - computational humanities
----
+---
+# The Object Detection for Olfactory References (ODOR) Dataset
+
+<!-- Provide a quick summary of the dataset. -->
+
+Real-world applications of computer vision in the humanities require algorithms to be robust against artistic abstraction, peripheral objects, and subtle differences between fine-grained target classes. 
+
+Existing datasets provide instance-level annotations on artworks but are generally biased towards the image centre and limited with regard to detailed object classes. 
+
+The ODOR dataset fills this gap, offering 38,116 object-level annotations across 4,712 images, spanning an extensive set of 139 fine-grained categories. 
+
+It has challenging dataset properties, such as a detailed set of categories, dense and overlapping objects, and spatial distribution over the whole image canvas. 
+
+Inspiring further research on artwork object detection and broader visual cultural heritage studies, the dataset challenges researchers to explore the intersection of object recognition and smell perception.
+
+## Dataset Details
+
+You can download the dataset using Hugging Face:
+
+```python
+from datasets import load_dataset
+ds = load_dataset("mathiaszinnen/odor")
+```
+
+
+### Dataset Description
+
+<!-- Provide a longer summary of what this dataset is. -->
+
+
+
+- **Curated by:** [More Information Needed]
+- **Funded by :** This dataset has received funding from the Odeuropa EU H2020 project under grant agreement No. 101004469.
+- **License:** [More Information Needed]
+
+
+## Citation 
+
+<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+
+
+**APA:**
+
+[More Information Needed]
+
+
+## Dataset Card Contact
+
+[More Information Needed]