Facebook employed 58604 employees in early 2021. According to the information, there are nearly 10000 people working in its AR / VR team, which is about 17% of all employees, 5% up compared to numbers in 2017.
By contrast, back in 2017, when Facebook first started selling oculus rift, Facebook had 18770 employees, and the price sold for was around $600 (PC required). By 2021, nearly 10000 people will be engaged in VR / AR alone. Oculus Quest 2 is only sold for $300, and dozens of the most popular games will bring millions of dollars in revenue.
At present, the number of employees on Facebook is on an amazing growth curve — about 30% more every year. For this advertising-oriented company, although the VR / AR Department accounts for a small proportion of revenue, its VR / AR laboratory department is a huge expenditure. According to statistics, about 97% of Facebook’s revenue comes from advertising, but oculus Quest 2 brought the company $885 million in revenue at the end of 2020, compared with $346 million in revenue in the same period in 2019.
As Facebook wants to reduce its dependence on app distribution by companies like Google and Apple, it will continue to invest in VR / AR in the next few years. CEO Mark Zuckerberg said in a recent interview that he will continue to reinvest VR revenue to reduce the cost of entry-level headgear and “make them accessible to everyone.”
Virtual reality technology is a computer simulation system that can create and experience a virtual world. It uses a computer to generate a simulation environment, which is a system simulation of three-dimensional dynamic scene and entity behavior. VR glasses, which we are very familiar with, naturally caused an uproar. The integration of VR and Games makes us more irresistible. This black technology will revolutionize catering, real estate, personnel, online shopping, and even movie viewing.
In short, VR is virtual, and all the characters in the scene are fake; AR brings virtual information into the real world, the scenes and people can be either real or fake.
There is an important consensus in the AI industry:
The quality of the training data directly determines the performance of the final AI model.
In other words, the more scalable and accurate data, the better the model will work out, the more robust algorithm will be.
With the accelerated commercialization process of AI enterprises, more and more enterprises begin to realize the importance of training data.
With real-time workflow management, Bytebridge can provide high-quality data with efficiency:
- ML-assisted capacity can help reduce human errors by automatically pre-labeling, which also gains time.
- The real-time QA and QC are integrated into the labeling workflow as the consensus mechanism is introduced to ensure accuracy.
- All work results are completely screened and inspected by the machine and human workforce.
In this way, ByteBridge can affirm our data acceptance and accuracy rate is over 98%.
- Clients can set labeling rules, iterate data features, attributes, and task flows, scale up or down, make changes.
For example, you can choose a Bounding Box and Classification Template on the dashboard:
Clients can monitor the labeling progress and get the results in real-time on the dashboard.
These labeling tools are already available on the dashboard: Image Classification, 2D Boxing, Polygon, Cuboid.
We can provide personalized annotation tools and services according to customer requirements.
- A collaboration of the human-work force and AI algorithms ensure a 50% lower price compared to the conventional market.
If you need data labeling and collection services, please have a look at bytebridge.io, the clear pricing is available.
Please feel free to contact us: email@example.com
1 How the Data Labeling Service Empowers AR(Augmented Reality) — Part1?
2 Data Annotation Service and Its Key Advantage — Flexibility
3 What are the Most Impressive AI Products — Animoji?