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Scene Generation datasets

archive 2025-07-28

9 datasets carry the task tag "Scene Generation" (the task itself: Scene Generation), ordered by the archive's paper count. Page 1 of 1: 9 shown of 9. 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

All 12,172 Question Answering 413Semantic Segmentation 347Object Detection 332Image Classification 283Classification 222Text Classification 167Language Modelling 166Text Generation 162Visual Question Answering (VQA) 144Named Entity Recognition (NER) 130Pose Estimation 124Anomaly Detection 119Action Recognition 115Instance Segmentation 111Sentiment Analysis 104Text Summarization 98Domain Adaptation 96Speech Recognition 96Reading Comprehension 95Information Retrieval 932D Object Detection 92Image Retrieval 87Machine Translation 82Relation Extraction 822D Semantic Segmentation 81Natural Language Inference 81Image Captioning 79Image Generation 79Depth Estimation 77Node Classification 75Natural Language Understanding 72Autonomous Driving 70Code Generation 70Object Tracking 693D Object Detection 67Face Recognition 67Link Prediction 67Person Re-Identification 65Data Augmentation 63Multi-Task Learning 593D Reconstruction 58Common Sense Reasoning 56Recommendation Systems 56Video Understanding 56Optical Character Recognition (OCR) 55Graph Classification 54Abstractive Text Summarization 52Emotion Recognition 52Medical Image Segmentation 52Word Embeddings 52Scene Generation 9

Scene Generation datasets 1–9 of 9

KITTI
KITTI (Karlsruhe Institute of Technology and Toyota Technological Institute) is one of the most popular datasets for use in mobile robotics and autonomous driving.
ImagesLiDARObject DetectionSemantic SegmentationPose EstimationObject Tracking3D Object DetectionImage Super-Resolution+41 tasks
3,661 papers · 137 benchmarks
Replica
The Replica Dataset is a dataset of high quality reconstructions of a variety of indoor spaces.
Images3DSemantic SegmentationImage GenerationDomain AdaptationVisual NavigationScene Generation3D Open-Vocabulary Instance Segmentation+1 tasks
414 papers · 4 benchmarks
VizDoom
ViZDoom is an AI research platform based on the classical First Person Shooter game Doom.
EnvironmentImage GenerationScene GenerationDecision MakingGame of DoomQ-LearningStarcraft
156 papers · 3 benchmarks
AVD (Active Vision Dataset)
AVD focuses on simulating robotic vision tasks in everyday indoor environments using real imagery.
ImagesRGB-DObject DetectionDomain AdaptationVisual NavigationScene Generation
29 papers · 1 benchmark
CoDraw
The Collaborative Drawing game (CoDraw) dataset contains ~10K dialogs consisting of ~138K messages exchanged between human players in the CoDraw game.
TextsLanguage ModellingScene GenerationImitation Learning
14 papers · 0 benchmarks
OSM
The OSM dataset, sourced from OpenStreetMap, is composed of the rasterized semantic maps and height fields of 80 cities worldwide, spanning an area of more than 6,000 km^2.
Scene Generation
8 papers · 1 benchmark
GoogleEarth
The GoogleEarth dataset is collected from Google Earth Studio, including 400 orbit trajectories in Manhattan and Brooklyn.
Scene Generation
5 papers · 1 benchmark
3D FRONT HUMAN
3D FRONT HUMAN is a dataset that extends the large-scale synthetic scene dataset 3D-FRONT.
3DScene Generation
2 papers · 0 benchmarks
InstaOrder
InstaOrder can be used to understand the geometrical relationships of instances in an image.
Visual Question Answering (VQA)Depth EstimationPanoptic SegmentationScene UnderstandingScene Generation
2 papers · 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.