![]() Before the spectra extraction, the bands with spatial resolution 10 and 20 m were resampled to 60 m and then the images were cropped in order to remove the land and depict optically homogenous sea regions. The images contain 13 bands, 3 with 60 m spatial resolution, 4 with 10 m spatial resolution and 6 with 20 m spatial resolution. The Sentinel 2 images depicted 2 tiles of the same orbit and were collected in 2016 (2 images), 2017 (19 images) and 2018 (9 images). The spectra were extracted from deep water areas with high noise levels and sunglint. This dataset includes 2.133.324 reflectance water spectra which were manually extracted by visual observation from 30 Sentinel 2 level 1C satellite images. The Triples are organized under three (mandatory) or more of twelve total information units (viz., ResearchProblem, Approach, Model, Code, Dataset, ExperimentalSetup, Hyperparameters, Baselines, Results, Tasks, Experiments, and AblationAnalysis). The structured contribution annotations are provided as (1) Contribution sentences : a set of sentences about the contribution in the article (2) Scientific terms and relations: a set of scientific terms and relational cue phrases extracted from the contribution sentences and (3) Triples: semantic statements that pair scientific terms with a relation, modeled toward subject-predicate-object RDF statements for KG building. The task is defined on a dataset of Natural Language Processing (NLP) scholarly articles with their contributions structured to be integrable within Knowledge Graph infrastructures such as the Open Research Knowledge Graph. NLPContributionGraph was introduced as Task 11 at SemEval 2021 for the first time. The dynamic nature of the surrounding environment at which the dataset was captured renders the tasks of localization and visual odometry estimation extremely challenging due to the varying weather conditions, presence of shadows and motion blur caused by the mov This dataset consists of seven training sequences with a total of 2264 images, and three testing sequences with a total of 930 images. Furthermore, as the dataset contains multiple pedestrian crossings, labels at each intersection indicating its safety for crossing are provided. Each tracked object is identified using a unique track ID, spatial coordinates, velocity and orientation angle. ![]() In addition to the 6-DoF localization poses of the robot, the dataset additionally contains tracked detections of the observable dynamic objects. The ground-truth pose labels are generated using a LiDAR-based SLAM system. Interlingua (International Auxiliary Language Association)ÄeepLocCross is a localization dataset that contains RGB-D stereo images captured at 1280 x 720 pixels at a rate of 20 Hz. Continuous Control (100k environment steps)Ĭontinuous Control (500k environment steps)
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