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Let Go of Control and Get Professional Help
The rapid transfer of knowledge from one person to another has allowed humanity to develop fast and create technologies that no single generation could possibly create on its own. The specialization of labor, in this case, became a necessity.
Today, it’s best to let the experts do their job – a crucial principle in IT. It is extremely resource- and cost-intensive to gather and train a team of data specialists. To lighten the load, it’s essential to focus on the core details while delegating separate tasks of your project to a team of dedicated professionals.
The culture of finding expert partners has become so vital for modern entrepreneurship. This is why our partner from Germany, Elefant Racing, was able to achieve astounding, unpredicted success in their project. The combination of the Elefant team’s strong vision and focus and data annotation expertise from Label Your Data has made it possible for the first autonomous race car of Elefant Racing to exist!
Elefant Racing started back in March 2004. It was a student organization consisting of passionate young engineers and business leaders. Their goal was to build the best racing cars that could win the famed Formula Student events taking place all over the world.
Formula Student (FS) is the established event meant to foster young talents in business and engineering. The idea is simple: build a race car from scratch and compete with other student teams.
team
partners & sponsors
race car
Only the combination of the best components, planning, and construction efforts results in a car that can not only compete, but win a Formula student event!
Initially, the founder and CTO of Elefant Racing, Tobias Friedrich was fascinated by the
possibilities that driverless vehicles offered. However, building a driverless race car at the
time was still an expensive and somewhat extravagant project. It was less known than other types
of racing cars (a traditional one with a combustion engine 
or a comparative novelty, an electric
car 
).
For this reason, as well as due to the absence of engineers and developers who were able to take on the task, it was decided to stick to the more traditional vehicle types.
There are many things a project like a driverless vehicle requires. From components and materials to manpower with sufficient level of expertise, FR20 Ragnarök was undoubtedly the most ambitious race car ever built by the Elefant team.
And it was tricky: the Elefant team, despite their rich experience in building racing cars, have never before built a driverless model. They didn't know where to start or what they'll need to get the job done. As they started designing a model to support the driverless mode, it became apparent that training the algorithm would not be easy. It required massive amounts of data to train properly.
Autonomous driving is among the most hazardous dangerous and thus rigorously regulated machine learning areas. In Formula Student, there is a whole set of disciplines designed to test the security of a driverless vehicle.
Soon the team understood that not only the amount of the data but its quality mattered, too. Building the best race car and equipping it with a sophisticated driverless algorithm would be for naught if the data wasn’t properly annotated for the training.
However, the team didn’t have enough experience and even less human resources to dedicate to this time-consuming task. For this reason, their search for an annotation partner started.
The Elefant Racing team had a few requirements for their potential partners and sponsors:
And thus the quest began. The team searched through the Internet in hopes to find the perfect partner. Their effort paid off when they stumbled upon Label Your Data, a comparatively small but ambitious Ukrainian start-up with focus on high-quality and secure data annotation.
Data annotation is a crucial step of building and training a machine learning algorithm. When you have a vast amount of data on your hands, you cannot simply feed it into your model and get excellent results.
Our expert data annotation ensures that:
Processing the data means removing all the low-quality data (think low-resolution images, blurry or underexposed photos, etc.).
Annotating the data means adding meaningful tags to the elements of the data (such as objects on an image) that will explain to a machine how to interpret this object.
The team contacted the CEO of Label Your Data, Karyna Naminas, with an interesting proposition: help to build a driverless race car.
At Label Your Data, we always offer a pilot so that a client could check if the annotation experts understand the task correctly and if the quality, security, and speed meet the expectations. For Elefant Racing, the trust between our teams was established almost immediately. Label Your Data annotator started working on the project with frequent feedback exchanges. Within a few weeks, the Elefant Racing team was 100% sure that we understood what kind of annotation they required.
I was immediately interested and intrigued by the offer that the Elefant Racing team made.
Label Your Data was a young start-up looking for curious and innovative projects to strengthen
domain expertise. Together with our co-founder, Daria Leshchenko, we were driven by a keen interest
in the automotive industry and Sebastian’s dedication to the project. Our experience in supporting
annotation projects across multiple industries made it even more exciting for Label Your Data to
help the Elefant team with their glorious undertaking!
Karyna Naminas
Sebastian Sartor
I remember we were really surprised.
Fabian and Maksym had the first meeting and mentioned to me that they didn't think it’d be
successful. But then, surprisingly, [the Label Your Data team] was interested. We were very happy
and relieved. Maybe not everyone knew, but for me, this meant soooo much improvement of our team
efficiency.
The tests started in the Spring of 2021 and kept going until the roll-out in late June. This was the moment of truth when FR20 Ragnarök was first demonstrated to the wide public. By that time, the annotators of Label Your Data spent almost 2 000 hours on the labeling tasks, which consisted of annotating traffic cones using two major types of annotation.
As a result of this annotation process, the Elefant Racing team was able to train the model in the nick of time, ready for the presentation of FR20 Ragnarök during the FS in Zalaegerszeg, Hungary.
Taking place on August 7-11, Hungarian Formula Student presented a set of challenges for the Elefant team during both static and dynamic events. Static events required the team to demonstrate their knowledge of both the business and engineering parts of building a race car. At this time, a lot of competing teams with driverless vehicles failed the check-ups, either due to malfunctioning hardware or low-quality model design and training.
For the Elefant team, however, the presentations and security check-up went smoothly and the team got their permission to take part in the dynamic events, including acceleration event, driving eights, and unknown tracks racing. Despite competing against larger and more well-known teams that had experience in building driverless vehicles, the Elefant Racing team was able to get the 1st place in Design Judging at Formula Student East! The second FS competition that the Elefant Racing team participated in took place in Hockenheimring, Germany. During the events in FS Germany, the team set a few new records, including:
These achievements are surprising and very significant for the team without previous experience in building autonomously driven race cars. This would not be possible without the passion and dedication of the team, as well as the successful partnership of Elefant Racing and Label Your Data.
Building a project as complex and multifaceted as a driverless race car is a challenging and
ambitious endeavor. The Elefant Racing team had to plan and propose a working business model, to
find all the necessary components and materials to build a physical car, and then to design and
train an ML algorithm that would enable it to drive autonomously.
It is said that a friend in need is a friend indeed. We at Label Your Data are happy that we
were able to help the Elefant Racing team when they were on the lookout for the annotation
partner. For us, it was an intriguing experience that taught us a lot about passion and
determination. For Elefant Racing, it was a learning process that demonstrated how experts in
different fields can come together and build something as sophisticated as FR20 Ragnarök.
And despite the lack of faith in the victory of the first ever Elefant driverless race car, the
dedication and hard work paid off and resulted in a high place during FS events, as well as a
few new Elefant team records!
