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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
2,023 datasets
Phase data from a study on locomotion in three-legged dogs, analyzing tripedal gaits. The dataset was created by Zoe T. Self Davies and was last updated in April 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
A dataset from Kaggle concerning maize crops in 2025. It likely contains UAV-captured imagery and related data for analyzing water stress and common rust disease. The specific data volume, collection methodology, and geographic origin require verification after download.
North East England coastal lidar data from 2023, collected by the National Network of Regional Coastal Monitoring Programmes of England. The dataset contains 1,377 records. It is aggregated via the Government Digital Service's eu_open_data platform.
KITTI_dataset is a dataset hosted on Kaggle. The title suggests it contains data related to autonomous driving and computer vision, likely from the KITTI benchmark suite. The dataset's specific contents, such as the number of samples or included features, are unknown from the provided metadata.
CALIPSO satellite data provides 5 km aerosol layer profiles collected by the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. The mission, launched on April 28, 2006, is a joint project between NASA and CNES to study clouds and aerosols. It flies within the international A-Train constellation for coincident Earth observations.
CALIPSO satellite data from the Wide Field Camera instrument, providing 1 km registered science observations. The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) mission was launched on April 28, 2006 by NASA and CNES to study clouds and aerosols. It operates within the international A-Train constellation for coincident Earth observations.
An open multi-sensor dataset for autonomous driving research created by Audi AG. It contains semantically segmented images, semantic point clouds, and 3D bounding boxes, along with unlabeled 360-degree camera images, lidar, and bus data for three sequences. The dataset is hosted on AWS Open Data and is licensed under CC-BY-ND-4.0.
A rectified stereo video dataset from in vivo laparoscopic procedures, created by the Hamlyn Centre at Imperial College London. The repository contains rectified stereo images, calibration data, and ground truth, adapted for integration into the VSLAM-LAB framework. The dataset originates from the Endo-Depth-and-Motion project for 3D reconstruction and tracking in endoscopic videos.
Lidar data for Alaska was collected in 2004 using an OPTECH ALTM 70 kHz system mounted on a Cessna 320 aircraft by AeroMap for the NOAA Office for Coastal Management. The dataset represents last-return data and has been QA/QC'ed, though it may contain data holidays and diminished accuracy in areas of extreme terrain or dense vegetation. The data was last updated in the catalog on 2026-03 13.
UAV navigation data published on Kaggle, likely containing information relevant to autonomous flight and robotics. The dataset's specific columns, size, and collection details are not provided in the metadata. Its origin, author, and last update date are also unknown.
A dataset of labels for Unmanned Aerial Vehicle (UAV) imagery, published on Kaggle. The specific content, size, and creation details are unknown from the provided metadata. Its nature suggests it is intended for machine learning tasks involving aerial imagery analysis.
UAV_F32.dat is a dataset hosted on Kaggle. Its title suggests a focus on unmanned aerial vehicle data, likely containing telemetry or sensor readings. The dataset's specific content, size, and origin are not detailed in the provided metadata.
CS338_UAV123 is a dataset hosted on Kaggle. The title and platform tags suggest it contains video sequences captured from unmanned aerial vehicles (UAVs). It is likely intended for computer vision tasks such as object detection and tracking in aerial footage.
A single image captured by an unmanned aerial vehicle (UAV), or drone. The dataset is hosted on Kaggle, but its specific origin, collection date, and geographic scope are not detailed in the available metadata. The image's content and resolution are unknown without downloading the data.
Kaggle hosts a dataset focused on drone classification. The dataset likely contains images or sensor data for identifying different types of drones. Its specific size, origin, and creation date are not detailed in the provided metadata.
Galia Golan's work on Soviet foreign policy in the Middle East from World War Two to the Gorbachev era. The description outlines chapters covering key events, relationships, and ideological stances, such as the Six-Day War, Soviet relations with Egypt and Syria, and attitudes toward Islam. The dataset appears to be a structured textual analysis of historical policy, sourced from the paperswithcode platform.
Kitties likely contains a collection of images of cats. The dataset is hosted on Kaggle, but its size, source, and creation date are unknown. Its content and structure require verification after download.
May 2026 data concerning guava disease. The dataset is hosted on Kaggle, but its specific contents, collection method, and authorship are not detailed in the provided metadata. The actual data volume, features, and collection context require verification after download.
VisDrone_Person_Dataset is a computer vision dataset published on Kaggle. Its title suggests a focus on person detection within imagery captured by drones. The dataset's specific scale, creation details, and temporal coverage are not provided in the available metadata.
A2A UAV likely contains data related to autonomous or unmanned aerial vehicles. Published on Kaggle, this dataset's specific content, size, and origin are unknown. Its minimal metadata suggests it may be a collection of flight logs, sensor readings, or operational parameters.