Real-world Human Data for ML & CV Research
Scaleable Datasets
The consistency in our data allows scalability of the datasets. They can be prepared in small or large sets. From all of our data, we can pull a custom-designed dataset that matches your needs.
Structured Data
Our data is classified and organized at the highest industry level to be formatted into a database and used in any research or R&D. Each scan comes with accurate metadata that can be searched, filtered and analyzed.
Accurate Data
Our scans are created from real-world data, preserving sub-millimetre detail with accuracy in colour, detail, shapes and metadata.
Compatible Data
Our models are compatible with all 3d software and can be implemented in custom-made pipelines and tools. This includes geometry, textures and materials.
Repository Datasets
Outstanding researchers deserve outstanding data! Benefit from the advantages of our datasets, which will allow you to implement them into any software or learning algorithm and get high-quality results.
Repository Data
Our repository data is classified by Gender, Age, Ethnicity, Height, Weight, BMI, Clothing, Action, Expression and more…
Benefit from more than 20 thousand human scans that can fuel your project.
Gender
Age
Ethnicity
Caucasian
African
Asian
Hispanic
Clothing & Pose Variations per person
Human Scan Repository is a project created by Digital Reality Lab, which has extensive experience scanning humans and creating digital doubles.
We aim to help companies and universities quickly discover and use high-quality human scan data.
Our vision led us to develop a database with accurate, reliable, classified and structured human scans to be used in Machine Learning, Computer Vision, VR, AR, Games, Movies and virtually any 3d medium.
We have developed pipelines for processing human scans and turning them into digital doubles or avatars that preserve all of the details seen in the scan.
Our production team can help with a custom request for data processing to ensure that you get exactly what you need for your project.
