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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
1,671 datasets
Encyclopaedia of Islam, THREE is the third edition of a major reference work. The dataset likely contains articles and entries related to Islamic history, culture, and scholarship. It is published on the paperswithcode platform.
The religious attitude and life in Islam is a dataset hosted on PapersWithCode. Its specific content, size, and structure are not detailed in the available metadata. The dataset's license is listed as closed, and its author, organization, and last update date are unknown.
Encyclopaedia of Islam, Second Edition is a dataset available on the Papers with Code platform. The dataset is tagged with Library Science, History, Computer Science, Archaeology, Encyclopedia, Classics, and Islam, suggesting it likely contains textual entries from the referenced encyclopedia. Its specific content, size, and structure are not detailed in the provided metadata.
Registro de Activos de Información alcaldía de San José del Guaviare is an inventory of public information assets generated and controlled by the municipal government. The dataset catalogs records by properties such as information title, description, format, and responsible party. It was published by datos.gov.co and last updated in December 2025.
Key performance indicators for driver behavior generated within the CARLA autonomous driving simulation environment. The dataset is hosted on Kaggle, a platform for data science competitions and projects. Its specific size, columns, and creation details are not provided in the available metadata.
Kaggle hosts a dataset titled 'uav_detection_training', likely containing imagery for detecting unmanned aerial vehicles. The dataset's specific scale, creation details, and temporal coverage are not provided in the available metadata. Its intended application appears to be for training and evaluating computer vision models in the domain of aerial object detection.
VisDrone_data_clean is a dataset of drone-captured images, likely intended for computer vision tasks. The dataset is hosted on Kaggle, but specific details on its size, creation date, and annotation scope are not provided in the metadata. Its content and structure must be verified after download.
A dataset titled 'uav 300epoch127' hosted on Kaggle. The platform tags suggest it relates to computer vision and drone or UAV imagery. The dataset's specific content, size, and origin are not detailed in the provided metadata.
A dataset named VisDrone, likely containing processed or cleaned aerial imagery, as suggested by the title. It is hosted on Kaggle, but details on its creator, size, and specific collection period are unavailable. The content appears to be focused on visual data from drone platforms.
A dataset titled 'test-dataset-drone-v-nondrone' was published on Kaggle. The title suggests it contains images for classifying drone versus non-drone objects. The dataset's specific size, origin, and creation date are unknown.
VisDrone is a dataset published on Kaggle. The title suggests it contains imagery captured by drones, likely for computer vision tasks. The specific content, scale, and creation details require verification after download.
Real estate sales data from the cities of Peshawar and Islamabad in Pakistan. The dataset is hosted on Kaggle, but specific details about its size, columns, and creation date are not provided. Its content likely includes transaction details for properties in these two major Pakistani cities.
UAV-Seg Offline Assets likely contains imagery or assets for segmentation tasks related to unmanned aerial vehicles. The dataset is hosted on Kaggle, but its creator, size, and specific content are unknown. Its last update date is also unknown.
RF Signals for Drones Detection Dataset is a Kaggle-hosted collection focused on radio frequency data for identifying unmanned aerial vehicles. The dataset likely contains signal features or time-series measurements relevant to drone detection systems. Metadata is minimal; specifics on size, columns, and provenance are unknown.
A dataset of aerial imagery likely captured by Unmanned Aerial Vehicles (UAVs) in a forest environment under sunny conditions. It is published on Kaggle, but the author, collection date, and specific scope are not detailed. The dataset appears to be intended for testing computer vision models.
CARLA Depth_Estimation_Dataset is a dataset for computer vision tasks, likely related to autonomous driving. It is hosted on Kaggle, but detailed metadata such as author, size, and license are not provided. The dataset's content and structure must be verified after download.
UAV data, likely containing imagery or flight logs, sourced from Kaggle. The dataset's author, size, and specific content are not detailed in the provided metadata. Its creation date and update frequency are unknown.
A dataset of 1,000 driving scenarios, split into 700 training, 150 validation, and 150 testing examples, matching the nuScenes split. nuCarla is a large-scale, camera-based perception dataset developed in the CARLA simulator by zhijieq, last updated in January 2026. It is designed to facilitate training of effective perception representations for end-to-end autonomous driving development.
Neuro-inspired adaptive quantization research for vision systems, likely addressing computational demands in autonomous driving stacks. The dataset appears to be associated with a research abstract from the Kaggle platform. Specific details on data volume, collection dates, and original authors are not provided.
Kaggle hosts a dataset focused on probabilistic causal modeling for autonomous drone delivery systems. The dataset likely contains variables for modeling root causes of operational failures or performance metrics. Author, organization, and update date are unknown.