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Scene Recognition datasets

archive 2025-07-28

16 datasets carry the task tag "Scene Recognition" (the task itself: Scene Recognition), ordered by the archive's paper count. Page 1 of 1: 16 shown of 16. 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 Recognition 16

Scene Recognition datasets 1–16 of 16

ScanNet
ScanNet is an instance-level indoor RGB-D dataset that includes both 2D and 3D data.
ImagesRGB-DSemantic Segmentation3D Object DetectionDepth Estimation3D ReconstructionPanoptic SegmentationScene Segmentation+11 tasks
1,595 papers · 21 benchmarks
ADE20K
The ADE20K semantic segmentation dataset contains more than 20K scene-centric images exhaustively annotated with pixel-level objects and object parts labels.
Semantic SegmentationInstance SegmentationImage-to-Image TranslationSemi-Supervised Semantic SegmentationPanoptic SegmentationScene Understanding+19 tasks
1,213 papers · 32 benchmarks
Places205
The Places205 dataset is a large-scale scene-centric dataset with 205 common scene categories.
ImagesImage ClassificationCross-Domain Few-ShotScene Recognition
525 papers · 1 benchmark
SUN RGB-D
The SUN RGBD dataset contains 10335 real RGB-D images of room scenes.
ImagesInteractivePoint cloudRGB-DObject DetectionSemantic Segmentation3D Object DetectionPanoptic SegmentationMonocular Depth EstimationMonocular 3D Object Detection+7 tasks
477 papers · 11 benchmarks
Places365
The Places365 dataset is a scene recognition dataset.
ImagesImage ClassificationSemantic SegmentationOut-of-Distribution DetectionImage InpaintingScene RecognitionImage Outpainting+1 tasks
65 papers · 7 benchmarks
SUN397
The Scene UNderstanding (SUN) database contains 899 categories and 130,519 images.
ImagesImage ClassificationZero-Shot LearningFew-Shot LearningImage ClusteringFine-Grained Image ClassificationTransductive Zero-Shot Classification+3 tasks
52 papers · 8 benchmarks
AID (Aerial Image Dataset)
AID is a new large-scale aerial image dataset, by collecting sample images from Google Earth imagery.
ImagesTransductive Zero-Shot ClassificationScene RecognitionObject Detection In Aerial ImagesZero-shot Classification (unified classes)Scene ClassificationRemote Sensing Image Classification
40 papers · 2 benchmarks
YUP++ (YUP++ Dynamic Scenes dataset)
A new and challenging video database of dynamic scenes that more than doubles the size of those previously available.
Action RecognitionOptical Flow EstimationScene Recognition
13 papers · 1 benchmark
MIT Indoor Scenes
Context This is the Original data provided by MIT .
Scene Recognition
9 papers · 1 benchmark
ADVANCE (AuDio Visual Aerial sceNe reCognition datasEt)
The AuDio Visual Aerial sceNe reCognition datasEt (ADVANCE) is a brand-new multimodal learning dataset, which aims to explore the contribution of both audio and conventional visual messages to scene recognition.
ImagesAudioScene Recognition
6 papers · 0 benchmarks
HSD (Honda Scenes Dataset)
An annotated dataset is released to enable dynamic scene classification that includes 80 hours of diverse high quality driving video data clips collected in the San Francisco Bay area.
ImagesAutonomous VehiclesMulti-Task LearningScene Recognition
3 papers · 0 benchmarks
HOWS (HOWS-CL-25)
HOWS-CL-25 (Household Objects Within Simulation dataset for Continual Learning) is a synthetic dataset especially designed for object classification on mobile robots operating in a changing environment (like a household), where it is…
ImagesRGB-DClassificationContinual LearningIncremental LearningObject ReconstructionScene Recognition
1 paper · 2 benchmarks
MAI (Multi-scene Aerial Image)
MAI is a dataset for multi-scene recognition in single aerial images.
ImagesScene Recognition
1 paper · 0 benchmarks
Indian Food Image Dataset (datacluster.ai)
This dataset is an extremely challenging set of over 5000+ original India food images captured and crowdsourced from over 800+ urban and rural areas, where each image is manually reviewed and verified by computer vision professionals at DC…
ImagesObject DetectionScene RecognitionFood recommendationFood Recognition
0 papers · 0 benchmarks
KITTI-360-SR (KITTI-360 modification for Scene Recognition task)
Scene Recognition is a problem, where a set of visible objects must be correctly associated with objects marked on a semantic map - this problem is also sometimes called a Data Association.
EnvironmentScene Recognition
0 papers · 0 benchmarks
Stairs Image Dataset | Parts of House | Indoor (datacluster.ai)
This dataset is an extremely challenging set of over 3000+ originally Stair images captured and crowdsourced from over 500+ urban and rural areas, where each image is manually reviewed and verified by computer vision professionals at…
ImagesObject DetectionScene RecognitionObject Detection In Indoor Scenes
0 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.