Dataset Card for VLM-GIST

Supplementary material of: Leveraging Vision-Language Models for Open-Vocabulary Instance Segmentation and Tracking by Bastian Pätzold, Jan Nogga and Sven Behnke. IEEE Robotics and Automation Letters (RA-L). 2025.

This is a FiftyOne dataset with 64 samples, thoroughly annotated with unique and semantically rich descriptions, as well as bounding boxes and segmentation masks for all visible object instances.

Installation

If you haven't already, install FiftyOne:

pip install -U fiftyone

Usage

import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub

# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("ptzld/VLM-GIST")

# Launch the App
session = fo.launch_app(dataset)

Citation

If you utilize this dataset in your research, please cite:

https://arxiv.org/abs/2503.16538

@article{paetzold25vlmgist,
    author={Bastian P{\"a}tzold and Jan Nogga and Sven Behnke},
    title={Leveraging Vision-Language Models for Open-Vocabulary Instance Segmentation and Tracking},
    journal={IEEE Robotics and Automation Letters (RA-L)},
    volume={10},
    number={11},
    pages={11578-11585},
    year={2025}
}

License

The VLM-GIST dataset is licensed under CC BY‑NC‑SA 4.0 (see license), where 42 images (00013.jpg to 00054.jpg) are taken from the AgiBot World dataset.

Contact

Bastian Pätzold [email protected]
Jan Nogga [email protected]