---
license: cc-by-4.0
pretty_name: VIP Corpus-Level
annotations_creators:
- crowdsourced
task_categories:
- other
tags:
- image
- computer-vision
- pairwise-ranking
---

# VIP Corpus-Level

**VIP: Finding Important People in Images** (CVPR 2015)

[![CVPR 2015 Paper](https://img.shields.io/badge/CVPR_2015-Paper-005A9C)](https://openaccess.thecvf.com/content_cvpr_2015/html/Mathialagan_VIP_Finding_Important_2015_CVPR_paper.html) [![arXiv 1502.05678](https://img.shields.io/badge/arXiv-1502.05678-B31B1B?logo=arxiv)](https://arxiv.org/abs/1502.05678) [![GitHub Toolkit](https://img.shields.io/badge/GitHub-Toolkit-181717?logo=github)](https://github.com/mclint/vip)

## Dataset Summary

Pairwise ground-truth comparisons of the same person's importance across two video frames.

- Comparisons: 1000
- Data file: `data/comparisons.jsonl`

Each JSONL row is a complete comparison. The two `relative_importance`
values are normalized within that row and sum to 1. They are not absolute
scores and should not be compared directly across unrelated comparisons.

## Data Fields

| Field | Description |
|---|---|
| `comparison_id` | Stable identifier for the frame pair. |
| `frame_a.frame_id`, `frame_b.frame_id` | VIP frame identifiers. |
| `frame_a.media_path`, `frame_b.media_path` | Relative paths expected by the local viewer. |
| `frame_a.width`, `frame_a.height` | Frame dimensions in pixels; the same fields exist for B. |
| `frame_a.bbox_xywh`, `frame_b.bbox_xywh` | Face bounding boxes as `[x, y, width, height]` in frame pixels. |
| `frame_a.episode_number`, `frame_b.episode_number` | Source episode numbers. |
| `frame_a.frame_number`, `frame_b.frame_number` | Frame numbers within their episodes. |
| `frame_a.timestamp_seconds`, `frame_b.timestamp_seconds` | Extraction timestamps when available. |
| `frame_a.relative_importance`, `frame_b.relative_importance` | Normalized vote fractions that sum to 1. |
| `label` | More important side: `a`, `b`, or `tie`. |

Bounding boxes identify faces. They preserve the original release coordinates
and may extend beyond an image boundary when a face is partially outside the
frame. Clip boxes to the corresponding image dimensions before cropping.

## Example

```json
{
  "comparison_id": "TR001",
  "frame_a": {
    "frame_id": "l1000600",
    "media_path": "task_bbt/l1000600.jpg",
    "width": 512,
    "height": 288,
    "bbox_xywh": [
      234.0,
      57.0,
      25.0,
      25.0
    ],
    "episode_number": 1,
    "frame_number": 600,
    "relative_importance": 0.0,
    "timestamp_seconds": 24.054
  },
  "frame_b": {
    "frame_id": "l3025830",
    "media_path": "task_bbt/l3025830.jpg",
    "width": 512,
    "height": 288,
    "bbox_xywh": [
      162.0,
      68.0,
      41.0,
      41.0
    ],
    "episode_number": 3,
    "frame_number": 25830,
    "relative_importance": 1.0,
    "timestamp_seconds": 1033.25
  },
  "label": "b"
}
```

## Media Access

Raw source media is not redistributed in this dataset release. The
`vip` package provides helpers for preparing locally sourced media and
building the viewer.

## License

VIP comparison labels, relative-importance scores, face bounding boxes,
timestamps, and release metadata are licensed under
[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). Upstream source
media is not covered by this license and is not redistributed with the dataset.

## Tools

See [mclint/vip](https://github.com/mclint/vip) for dataset loaders,
evaluation utilities, media helpers, and local viewers.

## Citation

If you use this dataset, please cite the CVPR 2015 paper:

```bibtex
@InProceedings{Mathialagan_2015_CVPR,
author = {Solomon Mathialagan, Clint and Gallagher, Andrew C. and Batra, Dhruv},
title = {VIP: Finding Important People in Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2015},
doi = {10.1109/CVPR.2015.7299119}
}
```