Add dataset: odeuropa_smell_objects

### A URL for this dataset

https://doi.org/10.5281/zenodo.6367776

### Dataset description

From the Zenodo page:

> This dataset is released as part of the [Odeuropa project](http://odeuropa.eu/). The annotations are identical to the training set of the [ICPR2022-ODOR Challenge](http://odor-challenge.odeuropa.eu/).
It contains bounding box annotations for smell-active objects in historical artworks gathered from various digital connections.
The smell-active objects annotated in the dataset either carry smells themselves or hint at the presence of smells.
The dataset provides 15484 bounding boxes on 2116 artworks in 87 object categories.
An additional csv file contains further image-level metadata such as artist, collection, or year of creation.

Object detection datasets are time consuming to collect and there are relativlely few datasets for object detection that use LAM data. Those that do exist often use the output of one of the various YOLO models which may be of some interest but often includes categories which are unlikely to be particularly useful for research/curation of LAM collections. This dataset, in contrast, includes categories related to smell: a topic of interest to both art historians and social historians. As a result, this dataset offers a much richer exploration of the possibilities of using object detection with historical paintings.

### Dataset modality

Image

### Dataset licence

Creative Commons Attribution 4.0 International

### Other licence

_No response_

### How can you access this data

Other

### Confirm the dataset has an open licence

- [X] To the best of my knowledge, this dataset is accessible via an open licence

### Contact details for data custodian

_No response_