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NoW Dataset
许可协议: Research Only

Overview

Our NoW benchmark is for the task of 3D face reconstruction from single monocular images. The goal of this benchmark is to introduce a standard evaluation metric to measure the accuracy and robustness of 3D face reconstruction methods under variations in viewing angle, lighting, and common occlusions. The dataset contains 2054 2D images of 100 subjects, captured with an iPhone X, and a separate 3D head scan for each subject. This head scan serves as groundtruth for the evaluation. The subjects are selected to contain variations in age, BMI, and sex (55 female, 45 male).

Please click on the Challenge page to check the state-of-the-art comparisons. If you want to participate on the challenge follow the instructions on the Challenge and Downloads page from where you can download the data.

数据概要
数据格式
image,
数据量
2.054K
文件大小
--
发布方
Soubhik Sanyal
| 数据量 2.054K | 大小 --
NoW Dataset
许可协议: Research Only

Overview

Our NoW benchmark is for the task of 3D face reconstruction from single monocular images. The goal of this benchmark is to introduce a standard evaluation metric to measure the accuracy and robustness of 3D face reconstruction methods under variations in viewing angle, lighting, and common occlusions. The dataset contains 2054 2D images of 100 subjects, captured with an iPhone X, and a separate 3D head scan for each subject. This head scan serves as groundtruth for the evaluation. The subjects are selected to contain variations in age, BMI, and sex (55 female, 45 male).

Please click on the Challenge page to check the state-of-the-art comparisons. If you want to participate on the challenge follow the instructions on the Challenge and Downloads page from where you can download the data.

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