Loading...
Loading...
Self-driving perception, LiDAR/camera fusion, trajectory prediction, drone perception, robot manipulation
2,023 datasets
UAV Forest Overcast Dataset-2 is a collection of aerial imagery for forestry applications, published on Kaggle. The dataset likely contains images captured by unmanned aerial vehicles under overcast weather conditions. Metadata such as column details, sample data, and size are currently unknown.
This dataset contains satellite images annotated with land use categories for training computer vision models. It includes 50,000 high-resolution scenes across 10 land cover classes such as urban, agricultural, forest, water, and barren land. Images are captured by Sentinel-2 between 2018 and 2022 across North America and Europe.
An interview transcript from 1996 with Professor Dr. Azyumardi Azra, MA. The content discusses the ongoing evolution and internal conflicts within Islamic political thought and practice. The dataset was contributed by M Taufiq Rahman and is hosted on the paperswithcode platform.
A dataset concerning diseases affecting guava plants, sourced from Kaggle. The specific data type, volume, and collection methodology are not detailed in the available metadata. Further inspection after download is required to confirm the exact contents and structure.
Uav Flow Lerobot is a dataset hosted on HuggingFace by Smolbrainer. The dataset was last updated on March 16, 2026. Its specific content and scale are not detailed in the provided metadata.
14,400 video frames of inter-drone and ground vehicle footage, designed to benchmark Class-Incremental Learning for resource-constrained aerial platforms. The dataset was presented in the paper 'Learning on the Fly: Replay-Based Continual Object Perception for Indoor Drones' and is hosted by author sebnae on Hugging Face. It was last updated on 2026-02-18.
A subset of data related to flying drones, published on the Kaggle platform. The dataset's specific content, size, and origin are not detailed in the available metadata. Further details such as the author, collection method, and temporal coverage are unknown.
VisDrone2019-DET-train is a dataset for object detection tasks, likely containing annotated images captured by drones. The dataset is hosted on Kaggle and appears to be part of the 2019 VisDrone benchmark collection. Specific details regarding the number of images, annotation types, and exact content require verification after download.
VisDrone2019-DET-test-dev is a dataset published on Kaggle. The title suggests it is likely a subset of the VisDrone2019 benchmark for object detection in drone-captured imagery. The dataset's specific content, scale, and origin require verification after download.
VisDrone2019-DET-val is a validation subset of a prominent benchmark for object detection in drone-captured images. The dataset is hosted on Kaggle, a major platform for data science competitions and projects. Its specific content and scale require verification after download due to minimal provided metadata.
Comprising processed locomotion data from Drosophila fruit flies, derived from a 2019 eLife publication. It was used to develop the Carré du champ flow matching generative model in a 2026 ICLR paper. The row count, column count, and specific features are unknown.
Ahmed Rechid's work presents concepts on Islam and the Law of Nations, focusing on the political state of the world at the time of Muhammad. The dataset likely contains textual analysis and historical discussion from this academic paper. The geographic and temporal scope appears centered on the early Islamic period and its global political context.
A text-based analysis of Hamas, the Islamic Resistance Movement, authored by Shaul Mishal. The work examines its evolution from a challenger to the PLO during the Intifada, its social and political dimensions, and its strategic choices regarding violence and political bargaining. The dataset is sourced from the paperswithcode platform and is under a closed license.
July 27, 2022 airborne lidar survey of the upper Barry Arm fjord in southcentral Alaska, collected by the State of Alaska. The data provide a classified point cloud, digital terrain model (DTM), surface model (DSM), and intensity model to assess landslide movement during snow-free conditions. These data are published as Raw Data File 2026-9 by the Alaska Division of Geological & Geophysical Surveys (DGGS).
Solstice Frontier Robotics Pack is a sample dataset containing robot manipulation trajectories. The description indicates the data includes Monte Carlo Tree Search (MCTS) reasoning and counterfactual information. The dataset's full scale, origin, and update history are not specified.
2,890 coded articles from various Arab media sources with URL links. It examines the perception of Russian geonarratives like multipolarity and Eurasianism in the Arab world, analyzing their space-framing assumptions and intersections with local narratives such as Pan-Arabism.
VisDrone IISC Mine is a dataset hosted on Kaggle. The title suggests it contains drone-captured imagery, likely for computer vision tasks such as object detection. Specific details on its size, origin, and creation date are not provided in the available metadata.
A validation split for a drone detection dataset, likely derived from imagery associated with the U.S. National Park Service (NPS). The dataset is hosted on Kaggle, but its creation date and specific collection methodology are unknown. The total number of images and their resolution are unspecified.
A dataset likely containing sensor data from the CARLA autonomous driving simulator, intended for fine-tuning depth estimation models. The dataset is hosted on Kaggle, but detailed metadata such as column descriptions, sample data, and size are unavailable. Its author, organization, and last update date are unknown.
A dataset titled 'my-drone-only' is hosted on Kaggle. The dataset's specific content, size, and structure are not described in the available metadata. Its origin, collection method, and temporal or geographic scope are unknown.