The CapMIT1003 database contains captions and clicks collected for images from the MIT1003 database, for which reference eye scanpath are available. The database is distributed as a single SQLite3 database named capmit1003.db. For convenience, a lightweight Python class to access the database is provided (see "Programmatic Usage").

For more information about the data collection process and dataset statistics, please refer to our preprint https://arxiv.org/abs/2305.12380

The file capmit1003.py provides a CapMIT1003 dataset class to query the SQLite3 database. Its only dependency is pandas, a popular library for handling tabular datasets. The following snippet demonstrates how to iterate over all image-caption pairs and load the image, caption and click path. In addition, it downloads and extracts the MIT1003 stimuli images if they are not already present.

from capmit1003 import CapMIT1003

CapMIT1003.download_images()
with CapMIT1003('capmit1003.db') as db:
    image_captions = db.get_captions()
    for pair in image_captions.itertuples(index=False):
        image = imread(pair.img_path)  # e.g., using Pillow, scikit-image, etc.
        caption = pair.caption
        click_path = db.get_click_path(pair.obs_uid)
        xy_coordinates = click_path[['x', 'y']].values

Note the usage with with; this ensures that the database is properly closed after all queries.

When using the CapMIT1003 dataset, please cite our preprint.

@article{zanca2023contrastive,
  title     = {Contrastive Language-Image Pretrained Models are Zero-Shot Human Scanpath Predictors},
  author    = {Zanca, Dario and Zugarini, Andrea and Dietz, Simon and Altstidl, Thomas R and Ndjeuha, Mark A Turban and Schwinn, Leo and Eskofier, Bjoern},
  journal   = {arXiv preprint arXiv:2305.12380},
  year      = {2023}
}

Please make sure to also cite the original MIT1003 database.

@InProceedings{Judd_2009,
  author    = {Tilke Judd and Krista Ehinger and Fr{\'e}do Durand and Antonio Torralba},
  title     = {Learning to Predict Where Humans Look},
  booktitle = {IEEE International Conference on Computer Vision (ICCV)},
  year      = {2009}
}