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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
1,684 datasets
A dataset titled 'data-story-slam' is available on Kaggle. The dataset's content likely contains narrative text data, as suggested by the title. No further details on size, origin, or specific content are provided in the available metadata.
UAV Forest Sunny - Part 1 (seq1-seq4) is a dataset of aerial imagery published on Kaggle. The title suggests it contains sequences of images captured by an unmanned aerial vehicle in a forest environment under sunny conditions. The dataset's specific content, scale, and collection details require verification after download.
A dataset of imagery captured by unmanned aerial vehicles (UAVs) in forested environments under sunny conditions. The dataset is hosted on Kaggle, but its specific size, collection dates, and authorship are unknown. Columns and sample data are unavailable, limiting detailed assessment.
A Kaggle-hosted dataset of aerial images intended for human detection tasks. The dataset likely contains images captured from drone platforms, focusing on identifying human figures from an overhead perspective. Specific details on volume, collection dates, and authorship are not provided in the available metadata.
SARD is a Search And Rescue Dataset containing images of humans taken by drones. The description indicates it is labeled with a single class. The dataset's author, organization, and update history are unknown.
DrivIng is a large-scale multimodal dataset for driving research, featuring full digital twin integration. It was authored by Dominik Rößle and published via Harvard Dataverse in January 2026.
Aboveground dry woody biomass density estimates for high northern latitude forests at a 30-meter spatial resolution for the year 2020. The data were derived from NASA's ICESat-2 lidar and Harmonized Landsat/Sentinel-2 imagery and are provided by ORNL_CLOUD. This dataset accounts for more than 30% of global forest area and is designed for circumpolar boreal-wide mapping.
Monthly mean vertical profiles of aerosol extinction coefficients and aerosol optical depth at 532 nm, derived from CALIOP lidar data. The dataset reports profiles below 12 km altitude, averaged across four distinct sky conditions including all-sky and cloud-free. NASA and the French CNES produced this version 4.20 product, with data generation ending on July 1, 2020.
CALIPSO satellite data provides monthly mean vertical profiles of aerosol extinction coefficients at 532 nm and aerosol optical depth (AOD) below 12 km altitude. This Level 3 product averages data specifically from columns containing transparent clouds, derived from the CALIOP instrument's version 4.21 Level 2 aerosol profile product. The joint NASA and CNES mission has been collecting data since its launch in April 2006, with this specific product version updated in 2022.
Monthly mean profiles from 2006 to July 2020 provide vertical distributions of aerosol extinction coefficients and aerosol optical depth below 12km altitude. The data is derived from the CALIOP lidar instrument on the CALIPSO satellite, a joint NASA and CNES mission. This specific product averages only atmospheric columns containing opaque clouds.
Monthly mean vertical profiles of aerosol optical properties derived from CALIOP lidar measurements. Data are reported on a uniform spatial grid for altitudes below 12 kilometers, with separate files for different sky conditions. The dataset is produced by NASA and CNES from the ongoing CALIPSO mission, which launched in 2006.
Monthly mean vertical profiles of aerosol optical properties derived from the CALIOP lidar instrument. Data are reported on a uniform spatial grid for altitudes below 12 kilometers, specifically for atmospheric columns containing opaque clouds. This product is part of the ongoing CALIPSO mission, a joint NASA and CNES satellite launched in 2006.
Monthly mean vertical profiles of aerosol extinction and optical depth are derived from the CALIOP lidar instrument. This specific product averages data only from satellite columns containing transparent clouds. The dataset was produced by NASA and CNES, with this version's generation ending in July 2020.
CALIPSO Lidar Level 3 Tropospheric Aerosol Profiles, All Sky Data, Standard V4-21 provides monthly mean vertical profiles of aerosol optical properties on a uniform spatial grid. The data product is derived from the CALIOP instrument on the CALIPSO satellite, a joint NASA and CNES mission launched in 2006. Collection for this version 4.21 product is complete.
CALIPSO satellite data provides monthly mean vertical profiles of aerosol optical properties on a uniform spatial grid. The dataset, produced by NASA and the French CNES, is derived from the CALIOP lidar instrument and reports data below 12 km altitude. Data generation for this specific Version 4-20 product ended on July 1, 2020.
VisDrone is a benchmark dataset for computer vision tasks using drone-captured imagery. The description indicates it supports object detection, object tracking, and crowd counting. The dataset's author, organization, and specific scale are not provided in the input.
VisDrone is a benchmark dataset for object detection and tracking tasks. It consists of drone-based aerial images, likely containing annotations for various objects. The dataset's author, organization, and specific scale are not provided in the input metadata.
2-centimeter resolution Digital Surface Model captures terrain details at a historic fuel spill site near Old Casey Station. Dr. Arko Lucieer of TerraLuma and the University of Tasmania created this dataset from UAV photographs taken on February 5, 2014, for the Australian Antarctic Division. It includes derived layers like hillshade, slope, and 20-centimeter interval contours to support environmental remediation research.
Antarctic Specially Protected Area 135, Robinson Ridge, and Casey station were surveyed in January 2010 using a remote-controlled helicopter for aerial photography and differential GPS for terrain data. The dataset includes georeferenced photo mosaics, digital elevation models (DEMs), hillshades, and shapefiles outlining moss beds, streams, snowlines, and melt lake edges. Data collection was part of AAS Projects 1313 and 4036, led by Professor Sharon Robinson of the University of Wollongong.
Eighty-five 1-meter resolution bare earth Digital Elevation Models (DEMs) were generated from a topographic lidar survey conducted July 12-14, 2013. Photo Science, Inc., collected and processed the data under contract for the U.S. Geological Survey (USGS). The DEMs cover Dauphin Island, Alabama, and Chandeleur, Stake, Grand Gosier, and Breton Islands in Louisiana.