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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
2,023 datasets
nuScenes-v1.0-trainval09_blobs_camera.tgz is a dataset published on Kaggle. The title suggests it contains camera sensor data, likely images, from the nuScenes autonomous driving dataset. The specific content, scale, and features require verification after download.
nuScenes v1.0 is a dataset for autonomous driving research. This specific file likely contains camera image data from the 'trainval' split. The dataset is published on Kaggle, but the original author, organization, and specific details are not provided in the input.
nuScenes-v1.0-trainval05_blobs_camera.tgz is a dataset file from the nuScenes collection, a popular benchmark for autonomous driving research. The title suggests it contains camera sensor data, likely images, from the nuScenes v1.0 release. It is hosted on Kaggle, but detailed metadata such as the number of images, specific camera types, and collection details are not provided in the input.
nuScenes-v1.0-trainval06_blobs_camera.tgz is a dataset file published on Kaggle. The title suggests it contains camera sensor data, likely images, from the nuScenes autonomous driving dataset. The specific content, scale, and structure require verification after download.
nuScenes-v1.0-trainval07_blobs_camera.tgz is a dataset from the nuScenes collection, published on Kaggle. The title suggests it contains camera sensor data, likely images, intended for the training and validation of autonomous vehicle perception systems. The specific content, scale, and structure require verification after download.
nuScenes-v1.0-trainval08_blobs_camera.tgz is a dataset file from the nuScenes autonomous driving collection, published on Kaggle. The title suggests it contains camera sensor data, likely images, from the nuScenes v1.0 benchmark's training and validation splits. The specific content, scale, and other metadata require verification after download.
nuScenes is a large-scale dataset for autonomous driving. This specific component likely contains camera image data and associated metadata from the nuScenes v1.0 trainval01 split. The dataset is hosted on Kaggle, but detailed specifications are not provided in the minimal metadata.
nuScenes is a public large-scale dataset for autonomous driving. This specific file, v1.0-trainval02_blobs_camera.tgz, likely contains camera image data from the nuScenes collection. The dataset is hosted on Kaggle, but detailed metadata about its exact content and scale is unavailable.
nuScenes is a large-scale dataset for autonomous driving. This specific file likely contains camera image data from the nuScenes v1.0 trainval split. The dataset is published on Kaggle, but detailed metadata is unavailable.
nuScenes is a large-scale dataset for autonomous driving research. This specific file, v1.0-trainval04_blobs_camera.tgz, likely contains camera image data from the training and validation splits. The dataset was published on Kaggle, but detailed metadata such as author, license, and update date is not provided.
Carla Test Dataset comprises 200 images likely sourced from the CARLA autonomous driving simulator. The dataset is published on Kaggle, but details about its creator, collection date, and specific image content are not provided. Its title suggests it is intended for testing computer vision models within a simulated driving environment.
A source of the data and statistical code necessary to replicate the findings of the study 'Does Islamist Terrorism Still Affect Political Attitudes?', forthcoming in the European Journal of Political Research. It was authored by Micha Germann and hosted by Harvard Dataverse.
7 signal categories comprising RF recordings from 6 consumer-grade drone models and background noise. The data is provided in dual formats, featuring both raw IQ-data and processed spectrograms for signal analysis.
Two categories of data representing drones and birds. It facilitates the training of models to distinguish between mechanical unmanned aerial vehicles and biological avian species.
5-class UAV maritime image dataset for Search and Rescue (SAR) object detection. The collection provides aerial imagery specifically labeled for identifying targets in marine environments.
Two categories of data labeled as 'Bird' and 'Drone' for binary classification. The dataset focuses on distinguishing natural avian flight from synthetic drone movement in sky-based environments.
A dataset focused on tracking Unmanned Aerial Vehicles (UAVs), likely for computer vision and autonomous systems research. It is published on Kaggle, but specific details about its size, creation date, and authors are not provided in the available metadata. The content appears to be related to detecting and tracking drones, a common challenge in security and robotics applications.
UAVDetectTF likely contains imagery for detecting unmanned aerial vehicles. The dataset is hosted on Kaggle, but its specific size, origin, and creation date are not provided in the metadata. Columns and sample data are unknown, requiring download for detailed inspection.
A dataset titled 'UAV2UAV_Dataset' is hosted on Kaggle. The dataset's content likely pertains to interactions between Unmanned Aerial Vehicles (UAVs), as suggested by its name. No further metadata regarding its size, origin, or specific contents is provided.
Drone_cache is a dataset hosted on Kaggle, likely containing information related to unmanned aerial vehicle operations or sensor data. The dataset's specific content, size, and origin are not detailed in the available metadata. Its Kaggle platform tags suggest a focus on robotics and aerial data collection.