---
pretty_name: TAP-Vid DAVIS
license: other
language:
  - en
tags:
  - video
  - point-tracking
  - tracking
  - benchmark
size_categories:
  - n<1K
---

# TAP-Vid DAVIS

This repository is a community mirror of the official **TAP-Vid DAVIS**
evaluation release. It contains 30 videos from the DAVIS validation set
together with point-track and occlusion annotations.

## Files

- `tapvid_davis.pkl` - complete benchmark data.
- `SOURCES.md` - attribution and source links for the original videos.

The pickle stores a dictionary keyed by DAVIS video name. Each value contains:

- `video`: frames as a 4-D `uint8` array.
- `points`: tracks as a `float32` array with point, time, and `(x, y)` axes.
- `occluded`: visibility labels as a boolean point-by-time array.

```python
import pickle

with open("tapvid_davis.pkl", "rb") as f:
    dataset = pickle.load(f)
```

Only unpickle files obtained from a trusted source.

## Provenance and integrity

Official release:
<https://storage.googleapis.com/dm-tapnet/tapvid_davis.zip>

The release archive was checked against its Google Cloud Storage ETag before
extraction:

```text
MD5 (tapvid_davis.zip) = a7e786a1a5d26ba941b7c10bed21c20e
SHA256 (tapvid_davis.pkl) = 8d4ed1b232fd27a78bc192e2e1ce943866ff640ab15e43db3bc7b10258bb48f5
```

Project documentation and evaluation code:
<https://github.com/google-deepmind/tapnet/tree/main/tapnet/tapvid>

## License and attribution

The TAP-Vid annotations are released under
[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). The bundled video
content remains owned by its respective creators and may have source-specific
attribution requirements. See `SOURCES.md` before redistributing or adapting
the videos.

## Citation

```bibtex
@inproceedings{doersch2022tapvid,
  author    = {Carl Doersch and Ankush Gupta and Larisa Markeeva and
               Adria Recasens Continente and Kucas Smaira and Yusuf Aytar and
               Joao Carreira and Andrew Zisserman and Yi Yang},
  title     = {TAP-Vid: A Benchmark for Tracking Any Point in a Video},
  booktitle = {Advances in Neural Information Processing Systems},
  year      = {2022}
}
```

This is a community mirror and is not an official Google or DAVIS repository.