3D annotation is one of the most important parts of AI training. It goes without saying, but the performance of your AI depends directly on the quality of data it gets – and annotation is the key to elevating raw data into the required standards.
Unfortunately, 3D annotation is not always the easiest part of the project. Issues like poor and inconsistent annotations, among others, continue to plague training processes, leading to bad model outcomes. That’s why there has been a recent increase in demand for outsourced 3D annotation services.
Challenges of In-House 3D Annotation
As mentioned, many companies are opting to outsource 3D annotation services rather than building their own in-house team. Before we get to the benefits of this move, let’s first take a quick look at the challenges of doing this part of AI training in-house:
- High costs – to run the process in-house, you need to hire and train a team of annotators, which can be quite expensive.
- Time wastage – although it is not necessarily ‘time wastage,’ a lot of hours can go into managing workflows and quality control. These work hours can be better used on other aspects of the project.
- Limited scalability when (not if) data volume spikes and you need a larger team.
To address these challenges, AI-driven companies are now relying on outsourcing providers like oworkers. These providers offer access to dedicated annotation teams without the operational burden of managing the process in-house.
Why You Should Outsource 3D Annotation Services
Faster Turnaround Times
One of the main reasons you should outsource 3D annotation is to ensure faster turnaround times for your project. Data annotation is a generally time-consuming process that requires immense attention to detail. By outsourcing, you are freeing up your internal team to focus on other parts of the project, like research, innovation and development.
On the other hand, professional annotation teams will complete the process faster as they are more experienced and better equipped. In other words, outsourcing 3D data annotation can help you complete your AI project faster.
Access to Trained Annotation Specialists
Another benefit of outsourcing 3D data annotation is access to expertise and specialised skills. You essentially get a team of highly skilled professionals without the stress of recruiting them. And the best part is that they will cost a lot less than hiring and training an in-house team.
Easier Scaling Up and Down
With a traditional in-house team, scaling up and down can sometimes be a pain. That is primarily because it involves recruiting, hiring and firing members of the team – it consumes time and resources.
But when you outsource, you don’t have to worry about all those human resource headaches. Outsourcing providers have the necessary resources and infrastructure to handle the different scales of your project. Whether your data annotation needs increase or decrease, you can rest assured they will be met, minus the bureaucracy.
Conclusion
Based on all the evidence, outsourcing is undoubtedly the future of 3D annotation (and most of AI training processes). It saves on costs, lowers turnaround times and makes scaling easier. So, if you are looking to avoid all the challenges of handling the process in-house while also staying ahead of the competition, you should seriously consider outsourcing.
