Odeuropa Dataset of Smell-Related Objects

<strong>Odeuropa Dataset of Olfactory Objects</strong> This dataset is released as part of the Odeuropa project. The annotations are identical to the training set of the ICPR2022-ODOR Challenge.<br> It contains bounding box annotations for smell-active objects in historical artworks gathered from various digital connections.<br> The smell-active objects annotated in the dataset either carry smells themselves or hint at the presence of smells.<br> The dataset provides 15823 bounding boxes on 2192 artworks in 87 object categories.<br> An additional csv file contains further image-level metadata such as artist, collection, or year of creation. <strong>How to use</strong> Due to licensing issues, we cannot provide the images directly, but instead provide a collection of links and a download script. To get the images, just run the `download_imgs.py` script which loads the images using the links from the `metadata.csv` file. The downloaded images can then be found in the `images` subfolder. The overall size of the downloaded images is c. 200MB. The bounding box annotations can be found in the `annotations.json`. The annotations follow the COCO JSON format, the definition is available here. The mapping between the `images` array of the `annotations.json` and the `metadata.csv` file can be accomplished via the `file_name` attribute of the elements of the `images` array and the unique `File Name` column of the `metadata.csv` file, respectively. Additional image-level metadata is available in the `metadata.csv` file.**嗅觉物体Odeuropa数据集（Odeuropa Dataset of Olfactory Objects）** 本数据集作为Odeuropa项目的组成部分发布，其标注与ICPR2022嗅觉挑战赛（ICPR2022-ODOR Challenge）训练集完全一致。 本数据集包含从各类数字渠道收集的历史艺术作品中，与嗅觉相关物体的边界框标注。数据集中标注的嗅觉相关物体，要么本身携带气味，要么能够暗示气味的存在。本数据集在2192件艺术作品上共计标注了15823个边界框，涵盖87个物体类别。附带的CSV文件包含更多图像级元数据，例如创作者、馆藏机构以及创作年份等信息。 **使用方法** 由于授权许可问题，我们无法直接提供图像文件，仅提供链接集合与下载脚本。如需获取图像，只需运行`download_imgs.py`脚本，该脚本将通过`metadata.csv`文件中的链接下载图像。下载完成的图像将存储于`images`子文件夹中，下载后的图像总大小约为200MB。 边界框标注文件为`annotations.json`，该标注遵循COCO JSON格式，格式定义可在此处查阅。`annotations.json`中的`images`数组与`metadata.csv`文件之间的关联，可分别通过`images`数组元素的`file_name`属性，以及`metadata.csv`文件中唯一的`File Name`列来建立。更多图像级元数据均可在`metadata.csv`文件中获取。