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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
2,021 datasets
A dataset titled 'v2xind_veremi_compatible' suggests a focus on vehicle-to-everything (V2X) technology. It is hosted on Kaggle, a platform for sharing datasets for data science and machine learning. The dataset's specific content, size, and origin are not detailed in the provided metadata.
7,005 square kilometers of lidar data covering fourteen partial counties in Utah, with partial coverage of three counties in the Minidoka National Wildlife Refuge. The data was acquired in fall 2016 by Quantum Spatial, Inc. for the Department of the Interior. It includes classified LAS files, digital elevation models, digital surface models, intensity imagery, and breaklines.
NASA Operation IceBridge's gridded Surface Elevation product is derived from Airborne Topographic Mapper (ATM) lidar data collected during annual low-altitude surveys over Arctic sea ice from March 2009 to May 2018. The data are processed into a specialized grid with a 30-meter along-track dimension to optimize the non-uniform sampling density of the conical lidar scanner. This dataset provides high-resolution elevation measurements for studying sea ice topography and change.
GPS-labelled drone image tiles for monitoring sapling survival, sourced from a government initiative in Odisha, India. The dataset is intended for classification tasks related to afforestation efforts. The specific scale, collection dates, and total number of images are not detailed in the provided metadata.
A dataset from the Papers with Code platform, likely containing textual or conceptual data related to the study of Christianity and Islam. The specific content, size, and creation details are not provided in the metadata. The license is listed as closed, restricting its use and distribution.
CCO South West lidar 2025 contains 1538 records of airborne laser scanning data for coastal zones. The Marine Environmental Data & Information Network compiled this dataset through the National Network of Regional Coastal Monitoring Programmes of England. Data was last updated in April 2026.
380 lidar records from the 2025 East Riding survey conducted by the National Network of Regional Coastal Monitoring Programmes of England. The dataset is hosted by the Marine Environmental Data & Information Network and was last updated in April 2026.
CCO Anglia lidar 2025 is a geospatial dataset containing 272 records of coastal lidar scans. The Marine Environmental Data & Information Network produced this data for the National Network of Regional Coastal Monitoring Programmes of England. The dataset was last updated in April 2026.
A dataset for fine-tuning models, likely derived from the CARLA autonomous driving simulator version 0.9.16. The dataset is hosted on Kaggle, but its specific size, format, and creation date are unknown. Columns and sample data are unavailable, limiting detailed assessment.
seq01_UAV is a dataset published on Kaggle. The title suggests it contains a sequence of data captured by an Unmanned Aerial Vehicle. The dataset's content, size, and specific collection details are not provided in the metadata.
Kaggle hosts a dataset titled 'seq02_UAV', likely containing a sequence of images captured by an unmanned aerial vehicle. The dataset's specific content, size, and collection details are not provided in the available metadata. Its platform tags suggest a focus on robotics and computer vision applications.
seq03_UAV is a dataset published on Kaggle. The title suggests it contains sequential data, likely video or sensor readings, from an Unmanned Aerial Vehicle. Specific details regarding its size, columns, and creation are unavailable from the provided metadata.
Open Locomotion Skills Dataset provides expert, random, and domain-randomized trajectories for training and evaluating locomotion policies. The dataset contains approximately 4,200 episodes and over 2.7 million steps, collected from MuJoCo/Gymnasium environments for four robot morphologies: HalfCheetah, Ant, Walker2d, and Hopper. It was created by author kanishqgandharv and last updated on March 27, —.
Fast food restaurants in the twin cities of Islamabad and Rawalpindi, Pakistan. The dataset includes both raw and cleaned versions of the data. The author, platform, and specific data volume are unknown.
DataKitti is a dataset hosted on Kaggle. The title suggests it relates to autonomous driving and computer vision, likely containing sensor data such as images or point clouds. Its specific contents, scale, and origin require verification after download.
Banuri Fatwa Dataset Urdu is a collection of Islamic legal opinions (fatwas) and corresponding questions in the Urdu language. The dataset is hosted on Kaggle and likely contains a series of Q&A pairs from a Darulifta (Islamic legal advisory institution). The specific source, size, and creation date are not provided in the metadata.
Contour lines for Utah provide statewide 500-foot intervals from a 10-meter DEM and high-resolution 0.5-meter intervals from 2-meter LiDAR for Salt Lake County. The LiDAR-derived contours cover 4,000 x 4,000 meter blocks and are provided without smoothing. Data originates from the National Elevation Dataset and was processed by the organization SCIOPS.
CALIPSO's Wide Field Camera Level 1B data provides calibrated radiance and bidirectional reflectance measurements registered to a 1-kilometer Earth grid. This dataset is produced by NASA and the French space agency CNES from the CALIPSO satellite, which has been operational since its launch in April 2006. The data is specifically gridded to match the footprint of the onboard Imaging Infrared Radiometer to aid joint retrievals.
Late 2014 estimates of aboveground biomass, canopy cover, canopy height, landcover, and a forest degradation index for forests in Kalimantan, Indonesia. The data were produced by the National Aeronautics and Space Administration by integrating field sampling, airborne lidar, satellite measurements, and a land cover map using a random forest algorithm.
A pilot bathymetric LiDAR survey mapped the nearshore areas of Dundrum Bay and Carlingford Lough in Northern Ireland in 2021. Natural colour orthophotography was captured simultaneously with the LiDAR data. The dataset is published by OpenDataNI under the OGL-UK-3.0 license and was last updated in March 2026.