---
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
# 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).