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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
1,672 datasets
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.
VisDrone2019-MOT-val-CV4 is a validation subset from the VisDrone2019 dataset, published on Kaggle. The dataset likely contains video sequences captured by drones for multi-object tracking tasks. Its specific content, scale, and creation details require verification after download.
334 square kilometers of Colorado watersheds were surveyed by the NEON Airborne Observation Platform using an Optech Gemini LiDAR instrument. The data includes classified point clouds in LAZ format and 1-meter resolution raster files for surface elevation, terrain elevation, and canopy height. These data were contracted by Lawrence Berkeley National Laboratory and are also accessible via Google Earth Engine.
Grand Slams 2023-2025 is a dataset published on Kaggle. It likely contains match results and statistics from the four major tennis tournaments—the Australian Open, French Open, Wimbledon, and US Open—over the specified three-year period. The dataset's author, organization, and specific contents are not detailed in the available metadata.
A dataset hosted on Kaggle with the title 'kitti-synthetic-vo'. The title suggests it contains synthetic visual odometry sequences, likely related to the KITTI benchmark for autonomous driving. The dataset's author, organization, size, and specific contents are unknown from the provided metadata.
A dataset published on Kaggle with the title 'ZiplineDroneDataAnalysis_SummaryData'. The dataset likely contains summary statistics or operational metrics related to drone delivery or flight operations. Its specific content, origin, and temporal coverage require verification after download.
Grand Slam 2023-2025 is a dataset published on Kaggle. Its title suggests it contains information related to the four major tennis tournaments—the Australian Open, French Open, Wimbledon, and US Open—across the 2023 to 2025 seasons. The dataset's specific content, such as match results, player statistics, or point-by-point data, requires verification after download.
nuScenes v1.0 keyframes provide synchronized Camera, LiDAR, and Radar data for autonomous vehicle perception. The dataset likely contains annotated scenes captured from a vehicle platform. It is a standard benchmark for multi-sensor object detection and tracking tasks in robotics.
Shadi Hamid, a fellow at the Brookings Institution, argues that mainstream Islamist parties in Arab countries may deliberately avoid winning elections. The dataset likely contains analysis of electoral strategies and political behavior from a scholarly perspective. It is sourced from the paperswithcode platform, which aggregates academic and research datasets.
VisDrone is a dataset hosted on Kaggle. Its title suggests it contains visual data captured by drones, likely for computer vision tasks. The dataset's specific contents, scale, and origin require verification after download due to minimal provided metadata.
Drone imagery likely intended for computer vision tasks. The dataset has been cleaned, though the specific scope and cleaning methodology are not detailed. It is hosted on Kaggle, but the author, organization, and last update date are unknown.
A processed dataset derived from the CARLA autonomous driving simulator. The data likely contains features relevant to training and evaluating machine learning models for self-driving vehicles. It was published on Kaggle, but the original author, organization, and specific data collection details are unknown.
A dataset titled 'Drones-Deeponet-Dawama-Dataset' is hosted on Kaggle. The dataset's content likely relates to drone operations or robotics, given the title. No further metadata regarding its creation, size, or structure is provided.