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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
2,023 datasets
Car accident data generated using the CARLA autonomous vehicle simulator. The dataset likely contains structured records of simulated driving scenarios, collisions, and vehicle states. It is hosted on Kaggle, but the original author, creation date, and specific data volume are not provided in the metadata.
A dataset from Kaggle, likely derived from the VisDrone benchmark for computer vision tasks. The title suggests it contains drone-captured images with simulated or real foggy conditions, potentially for testing robustness in adverse weather. Specific details on size, collection date, and authorship are not provided in the available metadata.
3251 square kilometers of topobathy 1-meter gridded Digital Elevation Model data for the Chesapeake Bay coastline in Virginia. Woolpert collected the data using a Leica Hawkeye4X system from November 3, 2022, through March 5, 2023. The dataset consists of 5000m x 5000m tiles generated from ground and bathymetric point classes.
UIT-Adrone-Test-V2 is a dataset hosted on Kaggle. The title suggests it contains performance or sensor data from drone testing activities. The dataset's specific content, size, and origin require verification after download.
A multi-spectral satellite image of Hurricane Hugo making landfall on the South Carolina coast. The data was captured by the NOAA-11 satellite on September 21, 1989, and produced into a 36-inch by 36-inch poster by NOAA NCEI.
ApolloScapeAuto provides this collection of autonomous driving data featuring 3D LiDAR point clouds and 3D car instance annotations. The repository, last updated in May 2024, serves as a resource for training models in trajectory prediction and video inpainting. It includes specialized labels for complex spatial and temporal tasks in the automotive domain.
XJTLU Autonomous Vehicle Runtime Data is a dataset published on HuggingFace by user kevinlasnh. The title suggests it likely contains operational logs or sensor readings from autonomous vehicle tests. The dataset was last updated on April 5, 2026.
NASA's LVIS instrument provides high-resolution surface elevation data over Greenland, Alaska, and Antarctica collected via airborne lidar scanning. The dataset is a product of NASA's Operation IceBridge campaigns and is managed by the NSIDC. The data was last updated in the NASA EarthData catalog in 2015, though a Data.gov entry shows a much later 2026 timestamp.
A driving telemetry dataset containing 15 laps of simulated vehicle data. The data is generated at 30Hz using a UE5 physics simulation and follows the style of the NGSIM dataset. The author, organization, and specific time range are not provided.
IslamicFaithQA is a bilingual Arabic/English generative question answering benchmark designed for faithfulness-oriented evaluation. The dataset accompanies the paper 'From RAG to Agentic RAG for Faithful Islamic Question Answering' and was authored by QCRI. It was last updated on 2026-02-25.
Argoverse provides public datasets for testing and teaching self-driving vehicles how to understand the world. The collection includes motion forecasting, tracking, and lidar sensor data from Argoverse 1 and 2, supported by detailed maps. It is hosted on AWS Open Data and maintained by the Argoverse organization.
A dataset likely related to perception tasks for autonomous vehicles, using the CARLA simulation environment. The dataset is hosted on Kaggle, but its specific contents, size, and creation details are not provided in the available metadata. Further details such as the number of samples, specific sensor modalities, and annotation types require verification after accessing the data.
Custom-curated UAV detection dataset features corrected UV coordinates and is formatted for YOLO. The dataset is hosted on Kaggle, but its author, size, and creation date are unspecified. Its primary purpose is to support training and evaluation of object detection models for identifying unmanned aerial vehicles.
DexCanvas is a large-scale hybrid dataset for robotic hand-object interaction research, combining real human demonstrations with physics-validated simulation data. The v0.1 test release contains approximately 30 million multi-view RGB-D frames, representing about 70 hours of dexterous hand-object interaction. It was created by DEXROBOT and last updated on February 2, 2026.
Replication materials for a study analyzing drivers of European solidarity, published in European Union Politics. It includes the PSDE dataset and analysis scripts for replicating the full study findings. The replication package requires separate download of GLES data from external sources for a complete analysis.
Responses from 840 participants in Amsterdam, Den Haag, Rotterdam, and Utrecht to a survey with 22 questions. The survey includes demographic details and a choice experiment with 9 questions, each presenting 5 transport modes. The data was collected by Konstanze Winter.
The KAZR-ARSCL VAP merges corrected radar moments from the Ka-band ARM Zenith Radar (KAZR) with cloud observations from a micropulse lidar, ceilometer, soundings, rain gauge, and microwave radiometer. It produces two data streams, one with cloud boundaries and another with best-estimate time-height fields of radar moments. This specific DOI provides the all-inclusive data stream containing all variables produced by the VAP, authored by Karen Johnson.
A dataset derived from the NuScenes autonomous driving dataset, focusing on reasoning tasks. It was uploaded by user 'tejeshbhalladhanyog' to Hugging Face and last updated on April 2, 2026. The dataset's specific content and scale are not detailed in the provided metadata.
Sobhi Mahmassani's course materials aim to show the alignment between international law principles and Islamic doctrine. The dataset likely contains lecture notes or textual content from a course presentation on general principles. The data is sourced from the paperswithcode platform and has a closed license.
United Nations Cartographic Section provides a country profile map for the Islamic Republic of Iran in PDF format. The map is released by the United Nations and hosted on the NASA Earthdata platform. The specific creation date and spatial detail are not provided in the available metadata.