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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
2,016 datasets
UAV-RSOD_Dataset is a collection of aerial imagery for obstacle detection tasks. It was published on Kaggle, but its specific size, creation date, and author are unknown. The dataset likely contains images captured from unmanned aerial vehicles.
HDX HAPI data for Iran provides standardized humanitarian indicators designed for interoperability from multiple sources. The dataset facilitates automated workflows and visualizations to support humanitarian decision making. It was last updated on 2026-03-17 by the HDX Humanitarian API Data organization.
The VisDrone dataset is a collection of aerial images and videos captured by drone-mounted cameras. It is hosted on Kaggle and likely contains annotations for computer vision tasks. The specific scale, creation date, and original authors are not detailed in the available metadata.
Dumont d'Urville, Antarctica, hosts a ground-based Rayleigh-Mie lidar system measuring stratospheric temperature profiles above 30 km. The instrument, named LOANA, was developed through French-Italian collaboration and has been operational since 2006. It is part of a long-term monitoring program on human impacts on the Antarctic polar stratosphere initiated by France in 1989.
Supplying 10-day composite Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) anomalies for Iran, produced by Copernicus using VIIRS sensor data. The records track vegetation health and greenness to monitor agricultural drought impacts across the country. The data is delivered as geospatial rasters updated through March 2026.
12,598 annotated images of unmanned aerial vehicle swarms, preprocessed with a simulated monochrome near-infrared filter. The dataset contains 13 scenes and over 19 UAV types, with bounding box annotations in COCO format for a single 'uav' class. It was created by bnina-ayoub and last updated on Hugging Face in April 2026.
Antarctic leopard seals were surveyed using a small Unmanned Aerial System (UAS) in the austral summers of 2013 and 2014. The dataset contains 50 photogrammetric samples from 15 unrestrained seals, providing a noninvasive method for estimating body mass and condition. It tests the precision and accuracy of UAS-based photogrammetry for pinniped research.
Drone_project is a dataset for small object detection and traffic counting from drone-based imagery. The dataset was uploaded to Kaggle, but its author, organization, and creation date are unknown. The specific number of images, annotations, and geographic coverage are not detailed in the provided metadata.
Krigged density surfaces for the kittiwake seabird during its breeding season. The data covers UK waters and is derived from ESAS survey data. The dataset was last updated on 2026-04-14 by the Joint Nature Conservation Committee.
UK waters are covered by kriged density surfaces for kittiwake during the non-breeding season. The data was produced by the Joint Nature Conservation Committee using ESAS data. The dataset was last updated on 2026-04-14.
Food Prices for Iran (Islamic Republic of) sourced from the FAOSTAT bulk data service. The dataset covers categories including Consumer Price Indices, Deflators, Exchange rates, and Producer Prices. It was last updated on 2026-03-16 by the Food and Agriculture Organization (FAO) of the United Nations.
A dataset of detection results for Unmanned Aerial Vehicles (UAVs). The data is hosted on Kaggle, but its specific origin, size, and creation date are unknown. The columns and data format are not specified in the available metadata.
106 days of ocean temperature-depth profiles were collected using expendable bathythermograph (XBT) instruments aboard the CARLANTIC from October 1986 to January 1987. The National Oceanic and Atmospheric Administration processed the data into the NODC standard C116 format, recording inflection points to define temperature curves. This dataset covers three distinct regions: the Bering Sea, Japan Sea, and North Pacific Ocean.
Omnidrone-codes is a dataset published on Kaggle. The title suggests it contains codes or telemetry data related to drone operations. The dataset's specific content, size, and creation details require verification after download.
Kaggle hosts a dataset titled RFUAV Stress. The dataset likely contains sensor or operational data related to unmanned aerial vehicles, potentially for stress or performance analysis. Specific details on volume, origin, and collection timeframe are not provided in the available metadata.
RFUAV Stress Single Class is a dataset from Kaggle. Its title suggests a focus on stress detection for Remotely Piloted or Radio-Controlled Unmanned Aerial Vehicles. The dataset's specific content, size, and collection details are not provided in the available metadata.
CATS-ISS Level 2 Operational Night Mode data provides vertical profiles of atmospheric aerosols and clouds measured by a lidar instrument on the International Space Station. The collection spans from February 12, 2015 to February 13, 2015, with data derived at 60m vertical and 5km horizontal resolution. The instrument was launched by NASA on January 10, 2015 and operated from an orbit between approximately 230 and 270 miles above Earth.
CATS-ISS_L2O_D-M7.2-V3-01_05kmLay is a NASA lidar data product providing vertical profiles of atmospheric aerosols and clouds from the International Space Station. The collection spans from March 25, 2015 to October 29, 2017, with data derived at 60m vertical and 5km horizontal resolution. CATS operated at three wavelengths, orbiting between approximately 230 and 270 miles above Earth's surface.
NASA's Cloud-Aerosol Transport System (CATS) instrument on the International Space Station collected vertical profile measurements of atmospheric aerosols and clouds from March 25, 2015 to October 29, 2017. The Level 2 Operational Night Mode product provides geophysical parameters derived from lidar data at 60m vertical and 5km horizontal resolution. CATS operated at three wavelengths, orbiting between approximately 230 and 270 miles above Earth's surface at a 51-degree inclination.
CATS-ISS_L2O_N-M7.2-V3-01_05kmLay is a Level 2 operational data product from the Cloud-Aerosol Transport System lidar instrument on the International Space Station. The collection spans from March 25, 2015 to October 29, 2017, providing vertical profiles of atmospheric aerosols and clouds at three wavelengths. The data is derived from Level 1 inputs at 60m vertical and 5km horizontal resolution.