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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
1,688 datasets
Between 2015 and 2016, Unmanned Aerial Vehicle (UAV) surveys were conducted on the Sankt Annafirn, Findelen-, and Griesgletscher in the Swiss Alps. The dataset contains high-resolution orthoimages and Digital Surface Models (DSMs) at 0.1-meter resolution, produced by the ENVIDAT organization and documented in a 2017 publication.
A FiftyOne version of the VisDrone2019-DET dataset provides 8,629 samples of drone-captured imagery. It was published by Voxel51 and last updated on Hugging Face in May 2024. The dataset likely contains annotations for object detection tasks.
Sixteen participants collected snowpack data near Toolik Lake, Alaska, between April 8 and 21, 2012. The campaign produced four data types: ground snow depths, snow cores for SWE, airborne LiDAR, and ground-based LiDAR. Data is managed by SCIOPS and was last updated on April 22, 2012.
USC-PSI-Lab released Humanoid Everyday in 2025, providing over 260 tasks across 7 categories for open-world robotic learning. The collection includes between 1,000 and 10,000 video records of humanoid manipulation and locomotion-integrated activities. All data were captured through a human-supervised teleoperation pipeline to ensure high-quality demonstration trajectories.
CALIPSO Lidar Level 2 5km Cloud Layer data product contains atmospheric column and cloud layer properties from the CALIOP instrument. The dataset was produced by NASA and the French Space Agency CNES from the satellite's launch in April 2006 until the science mission concluded in August 2023. It provides a global record of cloud spatial and optical characteristics at a horizontal resolution of 5 kilometers.
Lidar profiles of cloud and aerosol layers generated from the CALIOP instrument at a horizontal resolution of 333 meters. The data product was created by the NASA and CNES CALIPSO mission, which operated from 2006 until its science mission concluded in August 2023. It contains column descriptors for atmospheric location and layer descriptors for feature characteristics.
CALIPSO Lidar Level 2 Merged Layer Diagnostic Beta, V5-00 contains merged layer data from the CALIOP instrument with additional diagnostic flags and parameters used by science algorithms. The dataset was produced by the NASA and CNES CALIPSO mission, which operated from 2006 until its conclusion in August 2023. It combines information from standard 5 km and 333 m merged layer products.
CALIPSO Lidar Level 2 Aerosol Profile data provides vertical profiles of particulate extinction and backscatter. The dataset reports profiles at a spatial resolution of 60 m vertically and 5 km horizontally over an altitude range from 30 km to -0.5 km. This product was created by NASA and the French Space Agency CNES using the CALIOP instrument, with the satellite mission concluding in August 2023.
Level 0 raw data from the CALIPSO satellite's Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. The data product combines three 90-minute raw binary files into a single file containing lidar measurements and health/status data for the 532 nm parallel, 532 nm perpendicular, and 1064 nm channels. This mission was a partnership between NASA and the French Space Agency CNES, launched in 2006 and concluding its science mission in August 2023.
CALIPSO's CALIOP instrument collected raw, unprocessed backscatter profiles at 15-meter vertical resolution across three laser channels. These Payload Instrument Verification and Block (PIVB) data packets were acquired intermittently from August 2016 to June 2023. The dataset was produced by NASA and the French Space Agency (CNES) as part of the CALIPSO mission to study clouds and aerosols.
Data from 2006 to 2023 provides cloud and aerosol layer properties from the CALIPSO satellite's CALIOP lidar instrument. This Level 2 merged layer product, generated by NASA and the French Space Agency CNES, reports column and layer descriptors at a 5 km horizontal resolution. The mission concluded its science operations in August 2023.
CALIPSO's Level 2 Vertical Feature Mask provides scene classification and lidar lighting indicators from the CALIOP instrument. The satellite mission, a partnership between NASA and the French Space Agency CNES, operated from 2006 until its science conclusion in August 2023. It flew in the A-Train satellite constellation for coordinated Earth observations until 2018.
Data from 2006 to 2023 was collected by the CALIPSO satellite's CALIOP instrument. This Level 2 product provides cloud layer information at a 1 km horizontal resolution, including column and layer properties. The mission was a partnership between NASA and the French Space Agency CNES, concluding in August 2023.
Satellite lidar data provides global distributions of cloud occurrence and ice cloud optical depth on a uniform spatial grid. The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) mission was a partnership between NASA and the French Space Agency CNES, launched in 2006. The mission concluded its science operations in August 2023, with data collected from 2006 until 2018 within the A-Train satellite constellation.
Data from 2006 to 2023 was collected by the CALIPSO satellite's CALIOP instrument, providing a long-term record of atmospheric aerosol layers. This Level 2 product, generated by NASA and the French Space Agency CNES, contains column and layer properties for aerosol features identified along the satellite's path. The mission concluded its science operations in August 2023.
Dar es Salaam, Tanzania, is covered by this dataset containing 566 high-resolution image tiles and corresponding building footprint vector labels. It includes 8,485 buildings and was created by MLHUB, last updated in January 2023. The data is a reviewed Tier 1 dataset from the RAMP project, originally sourced from the Open Cities AI Challenge before resampling drone imagery to 30 cm resolution.
CALIPSO's CALIOP instrument collected calibrated single-shot lidar profiles of 532 nm and 1064 nm attenuated backscatter, including depolarization ratio at 532 nm. The satellite was a NASA-CNES partnership launched in 2006, operating until the science mission concluded in August 2023. Data collection spanned from launch until 2018 within the A-Train constellation, followed by formation flying with CloudSat.
1,330 high-resolution image tiles and corresponding vector labels provide building footprint data for Accra, Ghana. This dataset was created by MLHUB and published via NASA EarthData, with a last update in January 2023. It is a Tier 1 dataset from the RAMP project, indicating it has been thoroughly reviewed and improved.
KevinLADLee authored this suite of data collection tools for the CARLA simulator, updated in January 2026, to facilitate the generation of synthetic autonomous driving data. The repository enables researchers to programmatically capture synchronized sensor outputs and vehicle states within simulated urban environments.
Engineering data on building damage from the 2018 Camp Fire in Paradise, California. Data was collected in Spring 2019 using Terrestrial Laser Scanning (LiDAR) and drone-based Structure from Motion (UAS) at specific sites including schools, a hospital, a Safeway, and residential structures. The project aims to quantify local and global structural damage and evaluate forest burn severity.