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Scene Graph Generation datasets

archive 2025-07-28

11 datasets carry the task tag "Scene Graph Generation" (the task itself: Scene Graph Generation), ordered by the archive's paper count. Page 1 of 1: 11 shown of 11. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Scene Graph Generation datasets 1–11 of 11

The COCO (Common Objects in Context) dataset is a large-scale object detection, segmentation, and captioning dataset.
11,922 papers · 77 benchmarks
Visual Genome contains Visual Question Answering data in a multi-choice setting.
1,256 papers · 15 benchmarks
The GQA dataset is a large-scale visual question answering dataset with real images from the Visual Genome dataset and balanced question-answer pairs.
749 papers · 8 benchmarks
VRD (Visual Relationship Detection dataset)
The Visual Relationship Dataset (VRD) contains 4000 images for training and 1000 for testing annotated with visual relationships.
151 papers · 5 benchmarks
A novel dataset and benchmark, which features 1482 RGB-D scans of 478 environments across multiple time steps.
44 papers · 4 benchmarks
3DSSG provides 3D semantic scene graphs for 3RScan.
36 papers · 1 benchmark
PSG dataset has 48749 images with 133 object classes (80 objects and 53 stuff) and 56 predicate classes.
28 papers · 1 benchmark
4D-OR includes a total of 6734 scenes, recorded by six calibrated RGB-D Kinect sensors 1 mounted to the ceiling of the OR, with one frame-per-second, providing synchronized RGB and depth images.
11 papers · 3 benchmarks
Operating rooms (ORs) are complex, high-stakes environments requiring precise understanding of interactions among medical staff, tools, and equipment for enhancing surgical assistance, situational awareness, and patient safety.
3 papers · 3 benchmarks
Contrary to prior scene graph datasets, Haystack contains explicit negative annotations, i.e.
1 paper · 0 benchmarks
Scene Graph Generation (SGG) converts visual scenes into structured graph representations, providing deeper scene understanding for complex vision tasks.
1 paper · 0 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.