We have created a dataset of more than ten thousand 3D scans of real objects. To create the dataset, we recruited 70 operators, equipped them with consumer-grade mobile 3D scanning setups, and paid them to scan objects in their environments.

MuPoTs-3D (Multi-person Pose estimation Test Set in 3D) is a dataset for pose estimation composed of more than 8,000 frames from 20 real-world scenes with up to three subjects. The poses are annotated with a 14-point skeleton model. Source: DOPE: Distillation Of Part Experts for whole-body 3D pose estimation in the wild

The Multiview Tracking dataset is available here. Website for the Structured3D Dataset. Structured3D is a large-scale photo-realistic dataset containing 3.5K house designs (a) created by professional designers with a variety of ground truth 3D structure annotations (b) and generate photo-realistic 2D images (c). The features of Campus3D The Campus3D provides a large-scale 3D point cloud dataset of NUS campus and a comprehensive learning benchmark for visual recognition, scene understanding and varies kinds of vision problems.

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Titel. Inventario Nacional de Recursos Fitogenéticos Cereales de Invierno. core; 8/15. social; 0/8. legal; 2/7. practico; 1/14.

This benchmark closes the gap and provides a large labelled 3D point cloud data set of natural scenes with over 4 billion points in total. It also covers a range of diverse urban scenes: churches, streets, railroad tracks, squares, villages, soccer fields, castles to name just a few.

Website for the Structured3D Dataset. Structured3D is a large-scale photo-realistic dataset containing 3.5K house designs (a) created by professional designers with a variety of ground truth 3D structure annotations (b) and generate photo-realistic 2D images (c).

Download link (ZIP, Google Drive): DATASET LINK. A Refined 3D Dataset for the Analysis of Player Actions in Exertion Games. Abstract: Modeling and accurately analyzing human activities plays an important role, The Stanford 3D Indoor Scene Dataset (S3DIS) dataset contains 6 large-scale indoor areas with 271 rooms. Each point in the scene point cloud is annotated Nov 14, 2020 Along with the dataset, the research also details a new 3D object detection solution.

Licenser: Creative Commons Icke-kommersiell. Filtrera resultat. A Wonderful Story. Detta dataset saknar beskrivning 1 dataset hittades. Format: PNG Taggar: 3D perception. Filtrera resultat The dataset was acquired at Porto, one of the most iconic city of Portugal. It were Datos Argentina / Dataset.
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The poses are annotated with a 14-point skeleton model. Source: DOPE: Distillation Of Part Experts for whole-body 3D pose estimation in the wild The Falling Things (FAT) dataset is a synthetic dataset for 3D object detection and pose estimation, created by NVIDIA team. It was generated by placing 3D household object models (e.g., mustard bottle, soup can, gelatin box, etc.) in virtual environments. First dataset for computer vision research of dressed humans with specific geometry representation for the clothes. It contains ~2 Million images with 40 male/40 female performing 70 actions.

We present a new large-scale dataset that contains a diverse set of point clouds sequences recorded in indoor scenes from 6 different places, with high quality point-level annotations of 28, 000 frames with multiple levels of complexities.
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Tillhandahåller filter för att reducera brus från dataset tagna med syntetisk aperturradar. A brief summary of the item is not available. Add a brief summary about

We address this issue by presenting Open An-notations of Single Image Surfaces (OASIS), a dataset for single-image 3D in the wild consisting of annotations of de- Due to the scarcity and unsuitability of existent 3D-oriented linguistic resources for this task, we first develop two large-scale and complementary visio-linguistic datasets: i) Sr3D, which contains 83.5K template-based utterances leveraging spatial relations among fine-grained object classes to localize a referred object in a scene, and ii) Nr3D which contains 41.5K natural, free-form We have used this relatively cheap setup on purpose in order to hopefully make automated 3D behavioral analysis of zebrafish more accessible to smaller labs, students, and the likes. Dataset. The dataset consists of a training, validation, and test split.

3D printing and robotics. on Eurostat Website Tillfälliga uppgifter. URI: http://data.europa.eu/88u/dataset/yzsEuBlwUUxizsj3hSOdQ. Identifierare: isoc_eb_p3d.

Recent advances in Machine Learning and Computer Vision have proven that complex real-world tasks require large training data sets for classifier training. Dataset Size Currently, 65 sequences (5.5 hours) and 1.5 millions of 3D skeletons are available.

The Collective Activity dataset is available here.