For the development of new autonomous driving functions, several million objects suddenly have to be labelled by hand in high quality within a short time
In the automotive industry, the demands on Big Data are increasing due to the introduction of semi-autonomous driver assistance systems. As very large amounts of reference data are required for the next generation of autonomous driving functions, automated algorithms that allow to minimize the time required and to keep the costs within a real framework have to be sought.
A cloud-based software that performs automatic object annotation using deep learning
After the manual labeling of each individual object, an automatic object annotation is performed. This means that with the help of the software, objects known to the algorithm do not have to be manually labelled repeatedly. The software is operated in the cloud in order to efficiently access the large amounts of data. In addition, the easy accessibility in the cloud facilitates project coordination and the processing of large data sets.
The customer tried to overcome this challenge by splitting the large amount of data and manual labeling via different providers abroad.
Connection of Azure BLOB Storage Containers to the application.
Connection of other cloud storage possible.
Where is the data stored?
The data is stored in the cloud storage. The cloud storage is currently located in the dedicated Bertrandt Azure Cloud. However, it is also possible to connect the customer's own cloud storage.