Loading...
Loading...
Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
1,672 datasets
UAV_DETECTION_B is a dataset for detecting unmanned aerial vehicles, likely containing images or video frames. It is published on Kaggle, a platform for data science competitions and projects. The specific collection method, time range, and author are not detailed in the available metadata.
Kaggle hosts a dataset titled 'UAV_Dataset'. The dataset likely contains imagery or sensor data captured by Unmanned Aerial Vehicles. Its specific content, size, and creation details are not provided in the available metadata.
A subset of the nuScenes dataset, which is a large-scale collection for autonomous driving research. It is published on Kaggle, but the specific size, scope, and creation details of this subset are unknown. The original nuScenes dataset was created by Motional.
OpenDataNI commissioned a pilot bathymetric LiDAR survey in 2021 as part of the NI 3D Coastal Survey. The dataset maps the nearshore areas of Dundrum Bay and Carlingford Lough, with natural colour orthophotography captured simultaneously. The data is available in HTML and JSON formats under the OGL-UK-3.0 license.
Guava123 is a dataset published on Kaggle. The title suggests it likely contains information related to guava fruit or agriculture. The dataset's specific content, size, and origin are not detailed in the available metadata.
DenseUAV is a dataset hosted on HuggingFace by author lymengyu. The dataset was last updated on April 12, 2026. Its specific content and structure are unknown.
CARLA-simulated urban driving dataset with synchronized IMU labels. The dataset likely contains video frames and inertial measurement unit data generated from a simulation environment. Its author, organization, and specific scale are unknown.
A subset of the nuScenes dataset, a large-scale collection for autonomous driving research. The dataset is published on Kaggle. The specific size, scope, and version details of this subset are not provided in the metadata.
VisDrone Dataset is a collection of drone-captured images and videos. It is hosted on Kaggle, a platform for data science and machine learning projects. The dataset's specific content, scale, and creation details require verification after download.
Kaggle hosts this dataset focused on person detection from drone platforms. The title 'RGBT Drone Person' suggests it likely contains paired RGB and thermal (RGBT) image data. Its exact size, collection date, and originating organization are not specified in the provided metadata.
A public large-scale dataset for autonomous driving research. It enables the study of challenging urban driving situations using the full sensor suite of a real self-driving car. The dataset is provided by Motional, Inc. and is available under a commercial license.
nuPlan is the world's first large-scale planning benchmark for autonomous driving. The dataset is hosted on AWS Open Data and was contributed by Motional, Inc. It is distributed under a commercial license.
Drone_image is a dataset of aerial photographs, likely captured by unmanned aerial vehicles. It was published on the Kaggle platform, but the specific source, collection date, and dataset size are not provided. The content and potential annotations require verification after download.
A dataset titled 'Drone Project Dataset' is hosted on Kaggle. The dataset's specific content, size, and structure are not detailed in the provided metadata. Its author, organization, and last update date are unknown.
UAV_coco is a dataset of images likely collected from unmanned aerial vehicles. It is hosted on Kaggle, but its specific content, size, and creation details are not described. The dataset's title suggests it may be formatted for use with the COCO object detection framework.
UAV_DETECTION is a dataset hosted on Kaggle. Its title suggests it contains data related to detecting Unmanned Aerial Vehicles (UAVs). The dataset's specific contents, size, and creation details are not provided in the available metadata.
Microsoft's VITRA dataset contains real-world robot teleoperation demonstrations collected using a 7-DoF robotic arm with a dexterous hand and a head-mounted RGB camera. Each episode provides synchronized numerical state and action data alongside video recordings, intended for finetuning vision-language-action models for robotic manipulation.
This replication package supports a study on using language data to reconstruct the geographic origins of religious spread. The methodology was validated by estimating the origins of Islam and Buddhism to within 500km of their true origins. It was then applied to the more contested cases of Christianity, Judaism, and Hinduism.
UAV123 is a dataset hosted on Kaggle. The title suggests it contains video sequences captured from Unmanned Aerial Vehicles. The dataset's specific content, size, and creation details are not provided in the available metadata.
Taiwan Drone License LLM is a dataset hosted on Kaggle. The title suggests it contains text data related to drone licensing regulations in Taiwan, potentially for use with large language models. The dataset's specific contents, size, and origin are not detailed in the available metadata.