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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
1,673 datasets
A training split for a drone detection dataset, likely containing aerial or ground-based imagery. The dataset is hosted on Kaggle, but its specific contents and creation details are not provided. The title suggests it is part one of a partitioned set intended for model training.
OG_SLAM is a dataset for robotics and autonomous navigation tasks, likely containing sensor data for Simultaneous Localization and Mapping (SLAM). It is published on Kaggle, but its specific contents, size, and creation details are not provided in the metadata. The dataset's actual structure, including its columns and sample data, is unknown.
Harita provides data from a drone mapping company specializing in LiDAR scanning and land surveying. The description mentions 380 optimized solutions for terrain measurement questions. The dataset's origin and specific collection details are not provided.
A dataset titled 'drone_dataset' published on Kaggle. The dataset's content likely relates to drone-captured imagery or sensor data, but specific details are unavailable. Further verification after download is required to confirm its size, features, and intended applications.
VisDrone_subset is a dataset published on Kaggle. The title suggests it is a subset of the VisDrone dataset, which is commonly used for computer vision tasks involving drone-captured imagery. The dataset's specific contents, size, and origin are not detailed in the provided metadata.
UAV-captured images likely depicting plastic contamination in an unspecified environment. The dataset is hosted on Kaggle, but its specific scale, collection date, and originating organization are unknown. Columns and sample data are unavailable, requiring verification after download.
The dataset is published on Kaggle. It appears to contain data related to testing an autonomous drone system, likely from a university or research institution. The specific variables, collection period, and data volume are unknown.
Uit-adrone-test-V1 is a dataset hosted on Kaggle. The title suggests it contains data related to drone testing or autonomous flight. Specific details regarding its size, origin, and creation date are not available in the provided metadata.
Martin Stuart–Fox authored an analysis of Laos based on extensive field trips and interviews with officials. The work covers the political history, social structure, and economic system of Laos since the Communist victories in April 1975. It argues Vietnamese involvement is the most salient feature of the Lao revolution.
UAV_de is a dataset published on Kaggle. Its title suggests it contains imagery or telemetry data from Unmanned Aerial Vehicles (UAVs). The dataset's specific content, size, and origin are not detailed in the provided metadata.
Upper Barry Arm fjord in southcentral Alaska is covered by lidar-derived elevation data collected on October 14, 2022. The State of Alaska provides a classified point cloud, digital terrain model (DTM), surface model (DSM), and intensity model, with a focus on the Barry Arm landslide near Whittier. The survey aimed to provide snow-free baseline data for assessing landslide movement through repeat surveys.
A dataset titled 'uit-adrone-train' published on Kaggle. The title suggests it contains drone imagery, likely for training purposes. Its specific content, scale, and origin require verification after download.
Drone footage collected in December of 2025 over the Leme neighborhood of Rio de Janeiro. The dataset likely contains aerial images or video frames focused on crowd scenes. It is hosted on Kaggle, but other metadata such as author, size, and license are currently unknown.
Building footprints for the City of Austin were created through heads-up digitizing using 2012/2013 Orthoimagery and supplemental 2012 Lidar data. The dataset includes geospatial features for urban planning applications.
Late fall-winter 2011 LiDAR data covering the 18,000-acre Clarks River National Wildlife Refuge in Kentucky. The dataset includes deliverables such as a 1-foot contour, bare earth DEM, hillshade, terrain, control points, DSM, intensity, LAS files, and shapefiles. It was collected by the Department of the Interior and published via Data.gov.
UAVSAR_POLSAR_STOKES is a dataset from NASA's Earthdata platform, provided by the Alaska Satellite Facility (ASF). The dataset likely contains polarimetric synthetic aperture radar (PolSAR) data from the UAVSAR instrument, representing scenes using Stokes parameters. The raw description indicates it is a 'UAVSAR PolSAR Scene Stokes' dataset.
NASA Earthdata provides incidence angle data for scenes captured by the UAVSAR (Uninhabited Aerial Vehicle Synthetic Aperture Radar) PolSAR (Polarimetric SAR) system. The dataset is hosted by the Alaska Satellite Facility (ASF). The specific temporal and spatial coverage, as well as the data volume, are not detailed in the available metadata.
NASA Earthdata hosts UAVSAR repeat pass interferometry scenes packaged as KMZ files. The data is provided by the Alaska Satellite Facility (ASF) and likely contains geospatial layers derived from synthetic aperture radar. The specific geographic coverage, temporal range, and data volume are not detailed in the available metadata.
A Synthetic Aperture Radar (SAR) dataset from NASA's UAVSAR platform, processed with polarimetry and a 3x3 multilook operation. The data is projected to ground range (GRD) and published by the Alaska Satellite Facility (ASF) on the NASA Earthdata platform. The specific temporal and spatial coverage, row count, and file format are not detailed in the provided metadata.
NASA Earthdata hosts a UAVSAR PolSAR scene processed with Pauli decomposition. The dataset is provided by the Alaska Satellite Facility (ASF) and likely contains radar imagery for earth observation. Specific details on the scene's location, acquisition date, and data volume are not provided in the available metadata.