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Depth Estimation datasets
archive 2025-07-2877 datasets carry the task tag "Depth Estimation" (the task itself: Depth Estimation), ordered by the archive's paper count. Page 2 of 2: 29 shown of 77. 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
Depth Estimation datasets 49–77 of 77
The eBDtheque database is a selection of one hundred comic pages from America, Japan (manga) and Europe.
4 papers · 1 benchmark
We present a new large-scale photorealistic panoramic dataset named FutureHouse, which has the following characteristics.
3 papers · 0 benchmarks
Aa new cross-season scaleless monocular depth prediction dataset from CMU Visual Localization dataset through structure from motion.
3 papers · 0 benchmarks
UASOL (A large-scale high-resolution outdoor stereo dataset)
The UASOL an RGB-D stereo dataset, that contains 160902 frames, filmed at 33 different scenes, each with between 2 k and 10 k frames.
3 papers · 1 benchmark
4D Light Field Dataset is a light field benchmark consisting of 24 carefully designed synthetic, densely sampled 4D light fields with highly accurate disparity ground truth.
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
2 papers · 0 benchmarks
This dataset contains panoramic video captured from a helmet-mounted camera while riding a bike through suburban Northern Virginia.
2 papers · 0 benchmarks
InstaOrder can be used to understand the geometrical relationships of instances in an image.
2 papers · 0 benchmarks
Mila Simulated Floods Dataset is a 1.5 square km virtual world using the Unity3D game engine including urban, suburban and rural areas.
2 papers · 1 benchmark
Pano3D is a new benchmark for depth estimation from spherical panoramas.
2 papers · 0 benchmarks
SuperCaustics is a simulation tool made in Unreal Engine for generating massive computer vision datasets that include transparent objects.
2 papers · 0 benchmarks
The Autonomous-driving StreAming Perception (ASAP) benchmark is a benchmark to evaluate the online performance of vision-centric perception in autonomous driving.
1 paper · 0 benchmarks
This dataset contains synthetic images extracted from the CARLA simulator along with rich information extracted from the deferred rendering pipeline of Unreal Engine 4.
1 paper · 0 benchmarks
Coastal Inundation Maps with Floodwater Depth Values (Simulated Flood Inundation Maps of Abu Dhabi's Coast Under Different Shoreline Protection Scenarios)
This dataset provides simulated flood inundation maps of Abu Dhabi's coast under 174 different shoreline protection scenarios.
1 paper · 1 benchmark
ConSLAM (Construction Dataset for SLAM)
ConSLAM is a real-world dataset collected periodically on a construction site to measure the accuracy of mobile scanners' SLAM algorithms.
1 paper · 0 benchmarks
Provide: 10 pickle files 8 pickle files are used to generate depth maps 2 pickle files are data of fronto parallel texture with their ground truth depth Each pickle file contains the parameter of the camera system (aperture size, optical…
1 paper · 0 benchmarks
DermSynth3D (3DBodyTex.DermSynth3D)
A dataset of 100K synthetic images of skin lesions, ground-truth (GT) segmentations of lesions and healthy skin, GT segmentations of seven body parts (head, torso, hips, legs, feet, arms and hands), and GT binary masks of non-skin regions…
1 paper · 0 benchmarks
INRIA DLFD (INRIA Dense Light Field)
The INRIA Dense Light Field Dataset (DLFD) is a dataset for testing depth estimation methods in a light field.
1 paper · 0 benchmarks
The dfdindoor dataset contains 110 images for training and 29 images for testing.
1 paper · 0 benchmarks
This dataset is useful for doing research in the field of mars surface monocular depth estimation.
1 paper · 1 benchmark
MinNav is a synthetic dataset based on the sandbox game Minecraft.
1 paper · 0 benchmarks
SCARED-C (SCARED-Corrupted)
The dataset SCARED-C is introduced in the context of assessing robustness in endoscopic depth prediction models.
1 paper · 1 benchmark
The SimBEV dataset is a collection of 320 scenes spread across all 11 CARLA maps and contains data from a variety of sensors, including five camera types (RGB, semantic segmentation, instance segmentation, depth, and optical flow), lidar,…
1 paper · 3 benchmarks
The dataset contains procedurally generated images of transparent vessels containing liquid and objects .
1 paper · 1 benchmark
A visible-light and thermal-infrared images dataset for dual-spectrum depth estimation.
1 paper · 0 benchmarks
Abstract: We introduce the multi-spectral stereo (MS2) outdoor dataset, including stereo RGB, stereo NIR, stereo thermal, stereo LiDAR data, and GPS/IMU information.
0 papers · 0 benchmarks
We propose a new light field image database called “PINet” inheriting the hierarchical structure from WordNet.
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.