--- license: other license_name: custom-split-licensing license_link: LICENSE configs: - config_name: default data_files: - split: eval path: - "ego4d/frames/**" - "ego4d/annotations/**" - "mose/frames/**" - "mose/annotations/**" - "lvos/frames/**" - "lvos/annotations/**" ---

Is This Tracker On? A Benchmark Protocol for Dynamic Tracking

🌐 Project Website | 💻 Code | 📚 Paper
# Dataset card for ITTO ITTO is a challenging new benchmark suite for evaluating and diagnosing the capabilities and limitations of point tracking methods. ## Installation: ITTO contains three component datasets: (1) MOSE, (2) L-VOS, (3) Ego4D. You will have to install the L-VOS and Ego4D components of the dataset individually due to licensing permissions. 1. First, install the dataset: ``` git clone https://huggingface.co/datasets/demalenk/itto ``` 2. Next, install the L-VOS portion. Note that this will create temporary files in intermediate steps: ``` bash lvos/install_lvos.sh ``` 3. Next, install the Ego4D portion of the dataset. Note that you have need access to obtain access to Ego4D data. License requests can take a few hours to a few days, and can be obtained here: https://ego4d-data.org/docs/start-here/ Make sure that you have the ego4d CLI installed by running: ``` pip install ego4d ``` ``` bash ego4d/install_ego4d.sh ``` ## Running Evaluations with ITTO We provide evaluation scripts in the [ITTO github repo](https://github.com/ilonadem/itto), which contains dataloaders and model evaluation scripts for the numbers reported in the paper. ## Citing ITTO ITTO aggregates videos from three public datasets: [MOSE](https://github.com/henghuiding/MOSE-api), [LVOS](https://github.com/LingyiHongfd/LVOS), and [Ego4D](https://ego4d-data.org/). Please cite all of them in addition to citing ITTO. Each component keeps its original license and usage terms. We provide all license information in [`LICENSE.md`](LICENSE).