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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
1,673 datasets
2 data files and 1 codebook constitute a survey dataset on solidarity in Europe, authored by Philipp Genschel and hosted on Papers with Code. The dataset is tagged with Law, Geography, and Political Science, suggesting a focus on socio-political attitudes. The specific survey questions, sample size, and temporal coverage require verification from the provided codebook.
Replication package for a study on taxation, religious conversions, and socioeconomic disparities between Coptic and Muslim populations in medieval Egypt. The dataset was created by Mohamed Saleh and was last updated in February 2026. Specific details on row count, column count, and data structure are unavailable.
A benchmark dataset for autonomous driving research, published on Kaggle. The KITTI dataset is widely cited in computer vision literature for tasks like 3D object detection and visual odometry. Its specific content and scale require verification after download.
A dataset titled 'drone dataset' is hosted on Kaggle. Its specific content, size, and origin are unknown from the provided metadata. The dataset likely contains data related to drones or unmanned aerial vehicles.
KITTI is a widely recognized benchmark dataset for computer vision tasks in autonomous driving. It likely contains annotated road scene data collected from a vehicle platform. The dataset is published on Kaggle, but detailed metadata such as column descriptions and sample data are unavailable.
A dataset titled 'drones' is hosted on the Kaggle platform. The dataset's specific content, size, and collection details are not provided in the available metadata. Further details such as the author, license, and update history are unknown and require verification from the source page.
Kaggle dataset titled 'guava_datasset' with platform tags indicating a focus on fruit crops, agriculture, and plant disease. The dataset's specific content, size, and origin are not detailed in the provided metadata. Further inspection after download is required to confirm the exact nature and scope of the data.
Py123D is a sensor-focused library for autonomous driving datasets developed by the autonomousvision research group, with the latest update recorded in March 2026. It provides a programmatic interface for accessing driving data to support vehicle perception and navigation research.
CARLAA is a dataset from Kaggle, a platform for data science and machine learning. Its specific content and structure are not detailed in the available metadata. The dataset's origin, size, and collection methodology are currently unknown.
VisDrone2019 is a dataset published on Kaggle, likely containing visual data captured by drones. The dataset's specific size, content, and creation details are not provided in the available metadata. Its title suggests a focus on computer vision applications for aerial imagery.
CARLAA is a dataset from Kaggle, a platform for data science and machine learning. Its specific content and structure are not detailed in the available metadata. The dataset's origin, size, and collection methodology are currently unknown.
Telemetry data from drone flights conducted in the Gazebo robotics simulator. The dataset likely contains time-series sensor readings and control signals. It is hosted on Kaggle, but specific details on volume, authorship, and update frequency are not provided in the metadata.
A dataset likely containing sensor data from Velodyne lidar systems, commonly used in robotics and autonomous vehicle research. It is published on Kaggle, but the specific collection date, size, and creator are not provided in the available metadata. The content and structure require verification after download.
Islamic prayer times for cities, likely including the five daily prayers. The dataset is hosted on Kaggle and includes an exploratory data analysis and visualization component. Specific details on the number of cities, time range, and data collection method are not provided in the metadata.
An image dataset for lane detection tasks, sourced from Kaggle. The dataset likely contains images of roads in India, intended for training and evaluating computer vision models. Specific details on collection date, author, and dataset size are not provided in the available metadata.
uav_image_1 is a dataset of aerial imagery likely captured by unmanned aerial vehicles (UAVs). The dataset is hosted on Kaggle, but its specific scale, creation date, and authorship are not detailed in the available metadata. The content and structure require verification after download.
A dataset focused on last-mile delivery operations using Unmanned Aerial Vehicles (UAVs). It was published on Kaggle, but details on its creator, size, and specific contents are not provided in the metadata. The title suggests it contains information relevant to drone-based delivery systems.
A dataset concerning autonomous driving, likely quantifying interests, opinions, or preferences related to the technology. It was published on Kaggle, but the author, organization, and specific collection details are not provided. The dataset's size, structure, and specific content are unknown from the available metadata.
A dataset focused on detecting GPS signal spoofing attacks targeting unmanned aerial vehicles (UAVs). The data likely contains signal measurements and spoofing indicators, sourced from Kaggle. Specific details on volume, collection method, and authorship are not provided in the available metadata.
Bertie Vidgen at The Alan Turing Institute released this dataset in 2019 to support research on detecting Islamophobic hate speech. The data includes social media text annotated for both weak and strong hate speech categories. The release also includes the associated code and annotation guidelines from the original publication.