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RGB-D datasets

archive 2025-07-28

190 datasets carry the modality tag "RGB-D", ordered by the archive's paper count. Page 3 of 4: 48 shown of 190. 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 39 modality tags shown of 39, by dataset count; the full filter by modality, task and language is on /datasets

RGB-D datasets 97–144 of 190

BASEPROD (The Bardenas Semi-Desert Planetary Rover Dataset)
BASEPROD provides comprehensive rover sensor data collected over a 1.7 km traverse, accompanied by high-resolution 2D and 3D drone maps of the terrain.
2 papers · 0 benchmarks
ContactArt is a dataset for learning hand-object interaction priors for hand and articulated object pose estimation.
2 papers · 0 benchmarks
This is the dataset for the CGF 2021 paper "DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks".
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
Digital-Twin Tracking Dataset (DTTD) is a novel RGB-D dataset to enable further research of the problem and extend potential solutions towards longer ranges and mm localization accuracy.
2 papers · 0 benchmarks
Estimating camera motion in deformable scenes poses a complex and open research challenge.
2 papers · 1 benchmark
HOI-Synth (HOI-Synth benchmark)
The HOI-Synth benchmark extends three egocentric datasets designed to study hand-object interaction detection, EPIC-KITCHENS VISOR, EgoHOS, and ENIGMA-51, with automatically labeled synthetic data obtained through a novel HOI generation…
2 papers · 0 benchmarks
The ICL-NUIM dataset aims at benchmarking RGB-D, Visual Odometry and SLAM algorithms.
2 papers · 0 benchmarks
InSpaceType (Indoor Space Type Dataset for Monocular Depth Analysis)
High Quality Indoor Monocular Depth Estimation Dataset with focus on performance variation across space type - 1260 high quality evaluation pairs - Detailed inference variance across space types - Additional indoor image and depth pairs…
2 papers · 0 benchmarks
This data set contains 775 video sequences, captured in the wildlife park Lindenthal (Cologne, Germany) as part of the AMMOD project, using an Intel RealSense D435 stereo camera.
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
A set of 221 stereo videos captured by the SOCRATES stereo camera trap in a wildlife park in Bonn, Germany between February and July of 2022.
2 papers · 0 benchmarks
RGBD1K (A Large-scale Dataset and Benchmark for RGB-D Object Tracking)
RGBD1K is a benchmark for RGB-D Object Tracking which contains 1050 sequences with about 2.5M frames in total.
2 papers · 0 benchmarks
Rendered Handpose Dataset contains 41258 training and 2728 testing samples.
2 papers · 0 benchmarks
SB20 (Sugar Beet 2020 University of Bonn)
Video sequences captured at a field on Campus Kleinaltendorf (CKA), University of Bonn, captured by BonBot-I, an autonomous weeding robot.
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
TBBR (Thermal Bridges on Building Rooftops)
The dataset of Thermal Bridges on Building Rooftops (TBBR dataset) consists of annotated combined RGB and thermal drone images with a height map.
2 papers · 2 benchmarks
TorWIC (The Toronto Warehouse Incremental Change Dataset)
TorWIC is the dataset discussed in POCD: Probabilistic Object-Level Change Detection and Volumetric Mapping in Semi-Static Scenes.
2 papers · 0 benchmarks
WeatherKITTI is currently the most realistic all-weather simulated enhancement of the KITTI dataset.
2 papers · 0 benchmarks
robo-vln (Robotics Vision-and-Language Navigation)
The Robo-VLN dataset is a continuous control formulation of the VLN-CE dataset by Krantz et al ported over from Room-to-Room (R2R) dataset created by Anderson et al.
2 papers · 1 benchmark
6IMPOSE (Synthetic RGBD dataset for 6D pose estimation)
The dataset includes the synthetic data generated from rendering the 3D meshes of LM objects and several household objects in Blender for training 6D pose estimation algorithms.
1 paper · 0 benchmarks
ARKitTrack is a new RGB-D tracking dataset for both static and dynamic scenes captured by consumer-grade LiDAR scanners equipped on Apple's iPhone and iPad.
1 paper · 0 benchmarks
BIDCD (Bosch Industrial Depth Completion Dataset)
Bosch Industrial Depth Completion Dataset (BIDCD) is an RGBD dataset for of static table-top scenes with industrial objects.
1 paper · 0 benchmarks
In this dataset two robots, Baxter and UR5, perform 8 behaviors (look, grasp, pick, hold, shake, lower, drop, and push) on 95 objects that vary by 5 color (blue, green, red, white, and yellow), 6 contents (wooden button, plastic dices,…
1 paper · 0 benchmarks
BigBIRD (Big Berkeley Instance Recognition Dataset)
BigBIRD is a 3D dataset of 125 objects, with the following data for each object: 600 12 megapixel images, sampling the viewing hemisphere 600 registered RGB-D point clouds from a Carmine 1.09 sensor Pose information for each of the above…
1 paper · 0 benchmarks
Boombox is a multi-modal dataset for visual reconstruction from acoustic vibrations.
1 paper · 0 benchmarks
RGB-D instance segmentation box dataset.
1 paper · 2 benchmarks
CLAD (Complex and Long Activities Dataset)
CLAD (Compled and Long Activities Dataset) is an activity dataset which exhibits real-life and diverse scenarios of complex, temporally-extended human activities and actions.
1 paper · 0 benchmarks
DARai (Daily Activity Recordings for AI and ML applications)
Daily Activity Recordings for Artificial Intelligence (DARai, pronounced "Dahr-ree") is a multimodal, hierarchically annotated dataset constructed to understand human activities in real-world settings.
1 paper · 0 benchmarks
DAVIDE ('Depth-Aware VIdeo DEblurring')
The DAVIDE dataset consists of synchronized blurred, depth, and sharp videos.
1 paper · 0 benchmarks
Deep Indices (multi-spectral leaf/vegetation segmentation)
This dataset inclue multi-spectral acquisition of vegetation for the conception of new DeepIndices.
1 paper · 1 benchmark
DeepLocCross is a localization dataset that contains RGB-D stereo images captured at 1280 x 720 pixels at a rate of 20 Hz.
1 paper · 0 benchmarks
A large-scale isolated Indian sign language dataset.
1 paper · 1 benchmark
GraspClutter6D is a large-scale real-world dataset for robust object perception and robotic grasping in cluttered environments.
1 paper · 0 benchmarks
HA-ViD (HA-ViD: A Human Assembly Video Dataset)
Understanding comprehensive assembly knowledge from videos is critical for futuristic ultra-intelligent industry.
1 paper · 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…
1 paper · 2 benchmarks
HRI (High-resolution Rainy Image)
The HRI Dataset comprises a total of 3,200 image pairs.
1 paper · 0 benchmarks
This publicly available dataset contains 1613 RGB-D images of field-grown broccoli plants.
1 paper · 0 benchmarks
InHARD (Industrial Human Action Recognition Dataset in the Context of Industrial Collaborative Robotics)
We introduce a RGB+S dataset named “Industrial Human Action Recognition Dataset” (InHARD) from a real-world setting for industrial human action recognition with over 2 million frames, collected from 16 distinct subjects.
1 paper · 0 benchmarks
InfraParis is a novel and versatile dataset supporting multiple tasks across three modalities: RGB, depth, and infrared.
1 paper · 0 benchmarks
Involves data where a robot interacts with 5.1 cm colored blocks to complete an order-fulfillment style block stacking task.
1 paper · 0 benchmarks
This data set contains weekly scans of cauliflower and broccoli covering a ten week growth cycle from transplant to harvest.
1 paper · 0 benchmarks
MS-HAB-Demonstrations (ManiSkill-HAB Demonstration Datasets)
Whole-body, low-level control/manipulation demonstration dataset for ManiSkill-HAB.
1 paper · 0 benchmarks
ML-ready Global Dataset of elevation map.
1 paper · 0 benchmarks
Matador (Matador: A Material Image Dataset)
The Matador dataset is a material image dataset with hierarchical labels.
1 paper · 0 benchmarks
MetaGraspNet 1 (MetaGraspNet difficulty 1 - easy)
There has been increasing interest in smart factories powered by robotics systems to tackle repetitive, laborious 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.