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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
1,672 datasets
A curated dataset of real-world drone imagery formatted for YOLO object detection architectures. The dataset is sourced from Kaggle and focuses on aerial imagery. Specific details on size, creation date, and authorship are not provided.
Dawama-UAV-Dataset is a collection of aerial imagery likely captured by unmanned aerial vehicles. 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 images, annotation types, and the creator are unknown.
Lidar1 is a dataset hosted on Kaggle, indicated by platform tags to contain geospatial and point cloud data. The dataset's specific content, size, and origin are not detailed in the available metadata.
car_accident_carla2 is a dataset hosted on Kaggle. Its title suggests it contains data related to vehicle accidents, likely generated using the CARLA autonomous vehicle simulation platform. The dataset's specific contents, scale, and creation details are not provided in the available metadata.
Henning Finseraas produced this replication dataset for a study in The Journal of Politics, featuring results from a conjoint experiment conducted in Britain and Norway. The data measures voter responses to policy, social, and group-based appeals, specifically focusing on social class and out-group conflict.
VisDrone2019-DET_filtered_tiny-object_Images is a subset of the VisDrone2019 dataset, likely focusing on small-scale objects in aerial imagery. The dataset is hosted on Kaggle, but its specific content, size, and creation details are not provided in the metadata. Columns and sample data are unknown, requiring direct inspection of the dataset files for verification.
An index of LiDAR files for the City of Winnipeg, created by the Water and Waste department. Each file contains a point cloud detailing location, elevation, and surface type, with data organized by year and file type. The index includes links to individual 1km x 1km tiles and full annual collections.
Diffusion Path Planning Data is a dataset hosted on HuggingFace by author Zharon. The dataset's content and structure are inferred from its title to relate to robotic path planning using diffusion models. It was last updated on April 14, 2026.
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.
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.
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.
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.