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3D Reconstruction datasets
archive 2025-07-2858 datasets carry the task tag "3D Reconstruction" (the task itself: 3D Reconstruction), ordered by the archive's paper count. Page 1 of 2: 48 shown of 58. 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 50 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 52
3D Reconstruction datasets 1–48 of 58
ShapeNet is a large scale repository for 3D CAD models developed by researchers from Stanford University, Princeton University and the Toyota Technological Institute at Chicago, USA.
1,947 papers · 13 benchmarks
ScanNet is an instance-level indoor RGB-D dataset that includes both 2D and 3D data.
1,595 papers · 21 benchmarks
DTU (DTU MVS dataset - 2014)
DTU MVS 2014 is a multi-view stereo dataset, which is an order of magnitude larger in number of scenes and with a significant increase in diversity.
313 papers · 2 benchmarks
300W (300 Faces-In-The-Wild)
The 300-W is a face dataset that consists of 300 Indoor and 300 Outdoor in-the-wild images.
206 papers · 9 benchmarks
ShapeNetCore is a subset of the full ShapeNet dataset with single clean 3D models and manually verified category and alignment annotations.
180 papers · 1 benchmark
The MegaDepth dataset is a dataset for single-view depth prediction that includes 196 different locations reconstructed from COLMAP SfM/MVS.
152 papers · 0 benchmarks
ETHD is a multi-view stereo benchmark / 3D reconstruction benchmark that covers a variety of indoor and outdoor scenes.
121 papers · 3 benchmarks
For many fundamental scene understanding tasks, it is difficult or impossible to obtain per-pixel ground truth labels from real images.
108 papers · 4 benchmarks
BlendedMVS is a novel large-scale dataset, to provide sufficient training ground truth for learning-based MVS.
105 papers · 0 benchmarks
The ABC Dataset is a collection of one million Computer-Aided Design (CAD) models for research of geometric deep learning methods and applications.
104 papers · 0 benchmarks
ABO (Amazon Berkeley Objects)
ABO is a large-scale dataset designed for material prediction and multi-view retrieval experiments.
82 papers · 0 benchmarks
Scan2CAD is an alignment dataset based on 1506 ScanNet scans with 97607 annotated keypoints pairs between 14225 (3049 unique) CAD models from ShapeNet and their counterpart objects in the scans.
72 papers · 1 benchmark
We present a benchmark for image-based 3D reconstruction.
55 papers · 2 benchmarks
Enables detailed human body model reconstruction in clothing from a single monocular RGB video without requiring a pre scanned template or manually clicked points.
36 papers · 0 benchmarks
Dynamic FAUST extends the FAUST dataset to dynamic 4D data.
28 papers · 1 benchmark
ARCTIC (Articulated Objects in Free-form Hand Interaction)
ARCTIC is a dataset of free-form interactions of hands and articulated objects.
23 papers · 0 benchmarks
Common Objects in 3D is a large-scale dataset with real multi-view images of object categories annotated with camera poses and ground truth 3D point clouds.
20 papers · 1 benchmark
ApolloCar3DT is a dataset that contains 5,277 driving images and over 60K car instances, where each car is fitted with an industry-grade 3D CAD model with absolute model size and semantically labelled keypoints.
17 papers · 14 benchmarks
SceneNet is a dataset of labelled synthetic indoor scenes.
17 papers · 0 benchmarks
A novel benchmark dataset that includes a manually annotated point cloud for over 260 million laser scanning points into 100'000 (approx.) assets from Dublin LiDAR point cloud [12] in 2015.
15 papers · 0 benchmarks
Dynamic Replica is a synthetic dataset of stereo videos featuring humans and animals in virtual environments.
10 papers · 0 benchmarks
CSD (Collaborative SLAM Dataset)
Comprises 4 different subsets - Flat, House, Priory and Lab - each containing a number of different sequences that can be successfully relocalised against each other.
8 papers · 1 benchmark
ETH SfM (ETH Structure-from-Motion)
The ETH SfM (structure-from-motion) dataset is a dataset for 3D Reconstruction.
8 papers · 0 benchmarks
MonoPerfCap is a benchmark dataset for human 3D performance capture from monocular video input consisting of around 40k frames, which covers a variety of different scenarios.
7 papers · 0 benchmarks
The Oxford-Affine dataset is a small dataset containing 8 scenes with sequence of 6 images per scene.
7 papers · 0 benchmarks
A large-scale synthetic dataset with 2.5 Million photo-realistic images of 80 subjects performing 70 activities and wearing diverse outfits.
6 papers · 0 benchmarks
Generate high-quality 3D ground-truth shapes for reconstruction evaluation is extremely challenging because even 3D scanners can only generate pseudo ground-truth shapes with artefacts.
6 papers · 0 benchmarks
A Large Dataset of Object Scans is a dataset of more than ten thousand 3D scans of real objects.
5 papers · 0 benchmarks
[1]: https://www.projectaria.com/datasets/ase/ "" [2]: https://facebookresearch.github.io/projectariatools/docs/opendatasets/ariasyntheticenvironmentsdataset "" [3]: https://www.projectaria.com/research/ "" Aria Synthetic Environments is a…
5 papers · 2 benchmarks
CoP3D is a collection of crowd-sourced videos showing around 4,200 distinct pets.
5 papers · 0 benchmarks
HOD (Hand-held Object Dataset)
HOD is a dataset for 3D object reconstruction which contains 35 objects, divided into two subsets named Sculptures and Daily Objects.
5 papers · 1 benchmark
RefRef (RefRef: A Synthetic Dataset and Benchmark for Reconstructing Refractive and Reflective Objects)
RefRef is a synthetic dataset and benchmark designed for the task of reconstructing scenes with complex refractive and reflective objects.
5 papers · 1 benchmark
A dataset of high resolution, textured scans of articulated left feet, useful for 3D shape representation learning.
4 papers · 0 benchmarks
4 papers · 0 benchmarks
ShapenetRenderer is an extension of the ShapeNet Core dataset which has more variation in camera angles.
4 papers · 0 benchmarks
Real-world dataset of ~400 images of cuboid-shaped parcels with full 2D and 3D annotations in the COCO format.
3 papers · 0 benchmarks
Tragic Talkers is an audio-visual dataset consisting of excerpts from the "Romeo and Juliet" drama captured with microphone arrays and multiple co-located cameras for light-field video.
3 papers · 0 benchmarks
VBR (VBR: A Vision Benchmark in Rome)
This dataset presents a vision and perception research dataset collected in Rome, featuring RGB data, 3D point clouds, IMU, and GPS data.
3 papers · 0 benchmarks
A real-world dataset, with hyper-accurate digital counterpart & comprehensive ground-truth annotation.
2 papers · 1 benchmark
DRACO20K dataset is used for evaluating object canonicalization on methods that estimate a canonical frame from a monocular input image.
2 papers · 0 benchmarks
Estimating camera motion in deformable scenes poses a complex and open research challenge.
2 papers · 1 benchmark
ENRICH (Multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetry)
A new synthetic, multi-purpose dataset - called ENRICH - for testing photogrammetric and computer vision algorithms.
2 papers · 0 benchmarks
G-VUE (General-purpose Visual Understanding Evaluation)
General-purpose Visual Understanding Evaluation (G-VUE) is a comprehensive benchmark covering the full spectrum of visual cognitive abilities with four functional domains -- Perceive, Ground, Reason, and Act.
2 papers · 0 benchmarks
Dataset page: https://github.com/mosamdabhi/MBW-Data MBW - Zoo is a challenging dataset consisting image frames of tail-end distribution categories (such as Fish, Colobus Monkeys, Chimpanzees, etc.) with their corresponding 2D, 3D, and…
2 papers · 0 benchmarks
Middlebury MVS is the earliest MVS dataset for multi-view stereo network evaluation.
2 papers · 0 benchmarks
Pano3D is a new benchmark for depth estimation from spherical panoramas.
2 papers · 0 benchmarks
Synthetic dataset of over 13,000 images of damaged and intact parcels with full 2D and 3D annotations in the COCO format.
2 papers · 0 benchmarks
AMT Objects is a large dataset of object centric videos suitable for training and benchmarking models for generating 3D models of objects from a small number of photos of the objects.
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.