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NoW Dataset

Benchmark for 3D Face Reconstruction

NoW Dataset

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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Task
3D Reconstruction / Photogrammetry
Annotation Types
3D Point Cloud
2054
Items
100
Classes
2054
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Research Only
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