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---
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/**"
---

<div align="center">
<h1> Is This Tracker On? A Benchmark Protocol for Dynamic Tracking </h1>
</div>

<div align="center">
  <!-- <a href="#model">Model</a> β€’ -->
  🌐 <a href="https://glab-caltech.github.io/ITTO/">Project Website</a> |
  <!-- πŸ† <a href="https://hkust-nlp.github.io/agentboard/static/leaderboard.html">Leaderboard</a> | -->
  πŸ’» <a href="https://github.com/ilonadem/itto/tree/main">Code</a> |
  πŸ“š <a href=" ">Paper</a>

</div>

# 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).