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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
1,673 datasets
A dataset likely containing drone-captured imagery for environmental monitoring and conservation applications. It is hosted on Kaggle and appears intended for computer vision assignments. The specific volume, source, and collection date of the data are unknown.
A dataset likely containing images from drones used in conservation efforts. The data appears intended for a computer vision assignment, as indicated by the raw description. It is hosted on the Kaggle platform, but specific details about its creation, size, and temporal coverage are unavailable.
LiDAR Digital Elevation Model and point cloud data for the Wild Gardens of Acadia, produced and distributed by the National Park Service. The dataset includes elevation data products in DEM, ZIP, MMS, and DWG file formats, managed by the Department of the Interior. It was last updated in March 2026.
AIC4-UAV123-Full is a dataset for computer vision tasks, likely involving object detection in aerial imagery. It is hosted on Kaggle, a platform for data science and machine learning. The dataset's specific content, scale, and origin require verification after download.
A dataset related to drone models, published on Kaggle. The specific content, scope, and origin are not detailed in the provided metadata. The dataset's structure and intended applications must be verified after download.
A dataset published on Kaggle containing a checkpoint file for a drone-related model, likely version 2. The content appears to be model weights or parameters, potentially for computer vision or autonomous navigation tasks. The author, organization, and specific data details are not provided in the metadata.
Compiled drone sounds published on Kaggle. The dataset likely contains audio recordings of drones, which could be used for acoustic signature analysis. Specific details on the number of files, recording conditions, and compilation methodology are not provided in the available metadata.
Kaggle hosts a dataset focused on drones. The dataset's specific content, size, and origin are not detailed in the available metadata. Users must download the dataset to verify its actual composition and utility.
Flight trajectories and interaction features for Unmanned Aerial Vehicle (UAV) safety analysis. The dataset is hosted on Kaggle, but the author, organization, and specific collection details are not provided. The last update date and dataset size are unknown.
A dataset about Islamic schools, published on Kaggle. The dataset's specific contents, such as school names, locations, or attributes, are not detailed in the available metadata. Further details regarding the data's origin, size, and collection timeframe require verification after download.
Kaggle hosts a dataset titled 'Defense Model — Dataset Design Eslam AND MAYA'. The dataset's specific content, size, and creation details are not provided in the available metadata. Its origin and intended application are unclear from the minimal description.
A collection of abundance estimates for immature hawksbill and green turtles in a tidal lagoon, derived from a multi-method study. The study captured and marked 50 turtles and used satellite tracking data from 27 turtles to estimate a total population of 339 turtles, with densities ranging from 265 to 499 turtles per square kilometer. The research was conducted by Holly Stokes of Sea Turtle Conservation and published in 2026.
A dataset titled 'Drone Detection' hosted on Hugging Face by author advaitjishnani. The dataset was last updated on March 17, 2026. Its specific content and scale are unknown from the provided metadata.
A dataset of orthomosaics and digital surface models (DSMs) collected by drone. The description indicates the areas covered have a predominance of vegetation coverage. The dataset's author, organization, and temporal coverage are not specified.
VisDrone is a dataset hosted on Kaggle. Its title suggests it likely contains imagery captured by drones, potentially for tasks like object detection or tracking. The dataset's specific content, scale, and creation details require verification after download.
Drone Object Dataset is a collection of images likely intended for training and evaluating computer vision models. The dataset is hosted on Kaggle, but its specific contents, size, and creation details are not provided in the metadata. Users must download the dataset to verify its scope, annotation quality, and suitability for their projects.
Sheila K. Johnson authored this dataset, which likely contains textual data on historical perspectives. The dataset is hosted on paperswithcode and is licensed as closed. Its specific content and scale require verification after download.
A text-based analysis of the conflict in Southern Thailand authored by Neil Melvin. The dataset likely contains scholarly or analytical content on the Patani insurgency, Islamism, violence, and state responses. It is published on paperswithcode.
A dataset from a study on marital instability within an Islamic African society. The dataset likely contains sociological and psychological variables related to dominance and defiance in marital relationships. It was authored by Ronald Cohen and published on the paperswithcode platform.
A text collection on Iranian Islam, focusing on spiritual and philosophical aspects. The dataset is authored by Daryush Shayegan and is hosted on the Papers with Code platform. The specific content, size, and update history are not detailed in the provided metadata.