Datasets:

matclint
/

vip-corpus-level

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)

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

{
  "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. Upstream source media is not covered by this license and is not redistributed with the dataset.

Tools

See mclint/vip for dataset loaders, evaluation utilities, media helpers, and local viewers.

Citation

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

@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}
}