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Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
1,673 datasets
LiDAR point clouds and visual-SLAM data for mobile robotics are processed via this C++17 framework developed by MOLAorg, updated through March 2026. It provides a modular system for graph-based localization and mapping.
This dataset supports replication of research on taxation, religious conversions, and socioeconomic disparities between Coptic and Muslim populations in medieval Egypt. The data was compiled by author Mohamed Saleh. The specific number of rows, columns, and file formats are not detailed in the input.
Dronesentinel Training V2 is a dataset hosted on Kaggle, likely containing imagery for training computer vision models. The dataset's specific content, scale, and creation details are not provided in the available metadata. Further verification is required to confirm the exact number of images, annotation types, and the data's origin.
UAV_fireDataset is a collection of aerial imagery for fire detection, published on Kaggle. The dataset's specific scale, creation details, and update history are not provided in the available metadata. Its content likely consists of images captured by unmanned aerial vehicles for analyzing fire-related events.
LIBERO-R Datasets contain chain-of-thought textual reasoning annotations for the LIBERO-100 robot manipulation benchmark. NVIDIA researchers created these annotations to align vision-language-action models via runtime reasoning-action verification. The dataset page was last updated in January 2026.
A dataset of drone-captured images, likely derived from the VisDrone benchmark. The dataset appears to focus on cropped sections of aerial imagery, which are commonly used for training and evaluating computer vision models. It is hosted on the Kaggle platform, but specific details on size, origin, and update history are not provided in the metadata.
The dataset is titled 'dlfpt' and described as 'ARM Instrument: Doppler Lidar'. It is hosted on the paperswithcode platform and was contributed by author Rob Newsom. The specific temporal coverage, volume, and detailed structure are not provided in the available metadata.
Synthetic data for tracking drone movements, published on Kaggle by an author named Sabih. The dataset's specific volume, features, and creation date are not detailed in the available metadata. Its content and structure require verification after download.
A dataset titled 'EDA ISLAMIC PRAYERS' is hosted on Kaggle. The dataset's content likely relates to Islamic prayer times or practices, as suggested by its title. Specific details such as row count, columns, and creation date are unavailable from the provided metadata.
A dataset titled 'Drone giao thông 69' published on Kaggle. The title suggests it contains imagery or data related to traffic, likely captured by drones. The specific content, scale, and origin are unconfirmed due to minimal metadata.
Drone-captured imagery likely focuses on traffic scenes. The dataset is hosted on Kaggle, a popular platform for data science competitions and projects. Specific details on volume, collection dates, and authorship are not provided in the available metadata.
A dataset titled 'Giao thông drone', which translates to 'Drone Traffic' in English, is hosted on Kaggle. The dataset's content likely relates to traffic or transportation observations captured by drones. No further metadata on its creator, size, or specific contents is available.
GuavaDataset2 is a dataset published on Kaggle. The title suggests it contains information related to guava plants or agriculture. The dataset's specific content, size, and origin are not detailed in the available metadata.
NuScenes Blob3 is a dataset hosted on Kaggle. The title suggests it is part of the NuScenes autonomous driving dataset collection, which typically includes multimodal sensor data. The specific content, scale, and provenance of this blob file require verification after download.
GuavaDiseaseDataset_By_RJB is a dataset of images related to guava plant diseases, published on Kaggle. The dataset's specific content, scale, and creation details are not provided in the available metadata. Its intended use likely involves the application of computer vision techniques for agricultural monitoring.
A dataset published on Kaggle, likely containing visual data captured by drones. The title suggests a focus on computer vision tasks for unmanned aerial vehicles. Specific details on size, format, and creation are unavailable from the provided metadata.
RoboMIND is a benchmark dataset for multi-embodiment intelligence in robot manipulation, accepted by Robotics: Science and Systems (RSS) 2025. The collection includes version V2.0, accessible on the ModelScope platform.
A dataset from the Kaggle platform, likely part of the larger NuScenes autonomous driving dataset. The specific contents of 'Blob1' are not detailed in the provided metadata. Its nature is inferred from the title's association with the known NuScenes benchmark.
Kaggle dataset titled 'V2X-Seq-TFD'. The dataset's content and scale are unspecified. The author, organization, and last update date are unknown.
KITTI_DATASET is a benchmark collection for computer vision tasks in autonomous driving. The dataset is published on Kaggle, but its specific size, columns, and update history are not detailed in the provided metadata. Its content likely includes sensor data such as images and LiDAR point clouds for developing and testing perception algorithms.