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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
2,023 datasets
OpenDataNI provides orthophotography and topographic LiDAR data from the 2021 NI 3D Coastal Survey. The dataset covers the entire Northern Ireland coastline, including intertidal areas and approximately 200 meters landward of the high water mark. Colour infrared orthophotography imagery was captured with a 10cm resolution.
Orthophotography with 10cm resolution covers the entire Northern Ireland coastline, extending approximately 200 meters landward from the high water mark. This geometrically corrected aerial imagery was captured as part of the 2021 NI 3D Coastal Survey by OpenDataNI. The dataset includes topographic LiDAR and natural colour orthophotos, last updated in March 2026.
Soyabean UAV Dataset is a collection of aerial imagery likely captured by unmanned aerial vehicles for agricultural monitoring. The dataset is hosted on Kaggle, but its specific scale, collection dates, and authorship are not provided in the available metadata. Its content appears to focus on soybean crops, potentially for analysis of plant health, growth stages, or field conditions.
CARLA Sensors is a dataset hosted on Kaggle. The title suggests it contains sensor data from the CARLA autonomous driving simulator. The dataset's specific contents, size, and structure are unknown from the provided metadata.
CARLA Sensors is a dataset hosted on Kaggle. The dataset likely contains sensor readings and imagery from the CARLA autonomous driving simulator. The specific contents, volume, and collection details are not provided in the available metadata.
Tennis Grand Slam Pinnacle PREMIUM is a dataset of tennis match data spanning from 2016 to 2026. It likely contains detailed performance metrics across 113 columns. The dataset's author and licensing information are unknown.
A private dataset containing LiDAR point cloud data, hosted on Kaggle. The dataset's specific content, size, and origin are not detailed in the available metadata. Users must download the dataset to verify its actual structure and suitability for their tasks.
745 square statute miles of topobathymetric lidar data covering river sections in Missouri, Arkansas, and Oklahoma, collected from August 2023 to July 2024 by NV5 under contract for NOAA. The dataset includes point cloud data in LAS format with classifications for ground, water surface, bathymetric bottom, submerged aquatic vegetation, and other features according to ASPRS standards. Horizontal datum is NAD83 (2011) UTM 15, and vertical datum is GRS80 ellipsoid heights.
March 2026 publication from the Communications Security Establishment Canada details cyber threats to drone operations. The guide explores risks like data breaches, unauthorized access, and operational disruptions. It is provided as an HTML document under an open government license.
CALIPSO satellite data provides vertical feature masks for clouds and aerosols at a 5 km resolution. The dataset is produced by NASA and the French CNES from the CALIOP lidar instrument, launched in 2006 as part of the A-Train satellite constellation. It was last updated in March 2026.
CALIPSO satellite data provides vertical feature masks for clouds and aerosols at a 5 km resolution. The mission, a joint NASA and CNES project launched on April 28, 2006, studies their impact on Earth's radiation budget and climate. It operates within the international 'A-Train' satellite constellation for coincident Earth observations.
CALIPSO satellite data provides global observations of cloud and aerosol layers to study Earth's radiation budget and climate. The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) mission is a joint project between NASA and the French space agency CNES, launched in 2006. These Level 2 data products contain 1 km resolution cloud layer information.
CALIPSO satellite data provides observations of cloud and aerosol layers to study their impact on Earth's radiation budget and climate. The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) mission is a joint project between NASA and the French space agency CNES, launched on April 28, 2006. It flies as part of the international 'A-Train' satellite constellation for coincident Earth observations.
CALIPSO satellite data collected from its launch on April 28, 2006, as part of the international A-Train constellation. The dataset consists of half-orbit emissivity and cloud particle data from the Imaging Infrared Radiometer (IIR), co-located with lidar tracks. It is a joint mission between NASA and the French space agency CNES.
CALIPSO satellite data collected from its 2006 launch onward, providing observations of atmospheric aerosol layers. The dataset is produced by NASA and the French agency CNES, using the CALIOP lidar instrument. It consists of 5 km resolution aerosol layer data from the satellite flying in the international A-Train constellation.
ConSlam is a dataset hosted on Kaggle. The dataset's title suggests a focus on Simultaneous Localization and Mapping (SLAM), a core problem in robotics and computer vision. No further metadata, such as author, size, or specific content, is available from the input.
WildUAV is a dataset published on Kaggle. The title suggests it contains data collected by Unmanned Aerial Vehicles, likely imagery or sensor readings. The dataset's specific content, size, and origin are not detailed in the available metadata.
M3ED is the first multi-sensor event camera dataset focused on high-speed dynamic motions in robotics. It provides synchronized data from a car, legged robot, and UAV operating in challenging conditions like off-road trails and dense forests. The dataset includes high-resolution stereo event cameras, grayscale and RGB cameras, an IMU, a 64-beam LiDAR, and RTK localization, contributed by the Daniilidis Group and KumarRobotics.
Kaggle hosts a dataset related to self-driving cars. The dataset likely contains information pertinent to autonomous vehicle technology. Metadata is minimal; actual content requires verification after download.
Kaggle hosts this dataset titled 'Tarikh Islam Dataset'. The dataset likely contains textual records related to Islamic history. Metadata is minimal; specifics about its size, origin, and content require verification after download.