Scholar4AI Updated 2026-11-04 18:03 UTC+09:00

Open Images

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data category: Object detection and segmentation benchmarks · 0 papers in the last 7 days

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Images labelled with object boxes or pixel masks, including driving scenes.

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Names searched for: Open Images dataset, OpenImages, Open Images V4, Open Images V6

Key findings#

  • From Nov 2023 to Oct 2026, 45 archived papers mentioned Open Images in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Aug 2024 (5).
  • No paper of the tracked journals mentioned Open Images in the last 30 days (2026-10-06 to 2026-11-04).
  • From 2017 to 2026 (so far), Open Images was mentioned in 50 papers in the tracked journals, most of them in AI (50).
  • 12 of them were published in 2025, against 0 in 2017.
  • Since 2023, the institutions with the most of these papers were Chinese Academy of Sciences (6), Nanyang Technological University (5) and Institute of Automation (4).
  • The journals publishing most of them were IEEE Transactions on Pattern Analysis and Machine Intelligence (21), International Journal of Computer Vision (12) and Pattern Recognition (3).
  • The most-cited of them is “The Open Images Dataset V4” (International Journal of Computer Vision, 2020), with 368 citations.
  • Papers use Open Images most often with MS COCO (30), ImageNet (29) and PASCAL VOC (12); it has 15 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

Mentions over 36 months#

Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
TrendNov 23–Oct 24Nov 24–Oct 25Nov 25–Oct 2636 months
2291445

Papers per year#

2017: 0 papers2018: 0 papers2019: 0 papers2020: 1 paper2021: 0 papers2022: 0 papers2023: 8 papers2024: 20 papers2025: 12 papers2026 (so far): 9 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI000100820129
All categories000100820129

Where the papers come from#

Countries with the most papers, since 2023
#CountryPapers
1China21
2United States9
3United Kingdom7
4Hong Kong6
5Australia5
6Germany5
7Singapore5
8Canada3
9Spain3
10Finland2
Keywords with the most papers, since 2023
#KeywordPapers
1scene graph generation8
2image classification5
3Visual Genome4
4object detection4
5out-of-distribution detection4
6benchmark dataset3
7data augmentation3
8evaluation metrics3
9instance segmentation3
10visual grounding3

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
13684.6The Open Images Dataset V4International Journal of Computer Vision2020-03-13Alina Kuznetsova, Hassan Rom, Neil Alldrin et al.
22445.7RelTR: Relation Transformer for Scene Graph GenerationIEEE Transactions on Pattern Analysis and Machine Intelligence2023-04-19Yuren Cong, Michael Ying Yang, Bodo Rosenhahn B
31687.1BiFPN-YOLO: One-stage object detection integrating Bi-Directional Feature Pyramid NetworksPattern Recognition2024-11-18John Doherty, Bryan Gardiner, Emmett Kerr et al.
41144.3Contextual Object Detection with Multimodal Large Language ModelsInternational Journal of Computer Vision2024-08-20Yuhang Zang, Wei Li, Jun Han et al.
51054.5LVLM-EHub: A Comprehensive Evaluation Benchmark for Large Vision-Language ModelsIEEE Transactions on Pattern Analysis and Machine Intelligence2024-11-27Peng Xu, Wenqi Shao, Kaipeng Zhang et al.

Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.

Used together with#

Papers use Open Images most often with MS COCO (30), ImageNet (29) and PASCAL VOC (12); it has 15 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST. The whole network →

What papers use Open Images together with (at least 3 papers; lift 1 = chance)
Used withTypePapers using bothLift
MS COCODataset3030.9
ImageNetDataset2911.8
PASCAL VOCDataset1234.5
CIFAR-10 / CIFAR-100Dataset106.9
YouTube / TikTokDataset84.2
Fine-grained benchmarks (CUB-200, Stanford Cars, Oxford Flowers)Dataset729.2
ADE20KDataset533.9
CityscapesDataset516.1
WikipediaDataset54.7
KITTIDataset48.4
nuScenes / Waymo Open / ArgoverseDataset412.9
SVHNDataset418.3
Cite this page

Scholar4AI. (2026). Open Images. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/open-images

@misc{scholar4ai-datasets-open-images,
  author = {{Scholar4AI}},
  title = {Open Images},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/open-images}},
  urldate = {2026-11-04},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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