What to choose: Data Annotation Tools or Outsource Services?

We offer a complete online platform with excellent data annotation tools and large datasets. We also offer the best outsource data annotation services. If you are seriously considering this question, you should choose to outsource.

Yes, you could take on data annotation if you want and you know how or you have a good team of employees. However, that also costs a lot more. It takes a lot more time. You will inevitably encounter problems that are a pain to troubleshoot. Data annotation can be very long, tedious, and detail-oriented.

Now, if you want to take that on, that's fine. We understand, and you won't have to troubleshoot our platform's tools. It is a perfectly valid choice. You probably have good reasons for wanting to do that. In that case, you may still want to at least consider outsourcing your data annotation project to save time and money.

The gap between the largest, most successful companies and everyone else is growing. You don't want to be out-competed before you ever get to launch a product or service. Instead, you should spend time creating, innovating, and engineering the future you want to bring to the world.

Outsourcing your data annotation project and partnering with others is one way to close the gap between your startup and your largest corporate competition. You also want to get out of production as soon as possible. To be successful as any kind of tech company, you have to be able to move quickly. Also, your engineers, data scientists, and programmers already have other things that they need to do.

For example, if you are working on an AI for a self driving car or an autonomous vehicle, you want to stay focused on that. The world is ready and waiting for a fully self driving car. Yes, you could try doing it all in house. That would also slow you down. If you are a car company, be a car company. Let someone else handle the data annotation for self driving cars. In this case, you're a car company, not an AI data annotation company. You don't have to take on everything. Just be the best car company you can be.

Yes, you can still always choose just the data annotation and platform. That is why we offer those things. However, your team will need data annotation training. It is not as easy as solving those captchas to prove you are not a robot. By the way, those things are being used to train robots. It is a mistake to underestimate the skills required by a data annotation team to do a good job.

Underestimating the scale and the resources required is also a common mistake. Datasets are already huge and only growing larger. That is because having more data solves so many technical problems. That also means it takes a lot of resources, like computer storage and servers, and time. You can automate parts of the data annotation process, particularly for manual data annotation, once certain milestones are reached. It will still take time. It takes longer without the skills and experience to do a good job.

Data annotation | Keymakr

That is why it costs more to take on data annotation yourself. Data annotation at scale is still a specialized, skilled job. Depending on the data and your goals, it can also be even more specialized. Whether it is for a self driving car, medical data annotation or insurance data annotation, or something else, it is best to partner with a data annotation company.

The Benefits of Outsourcing Your Data Annotation Project:

Maintain your focus and keep your core mission intact.
Shift the burdens off your own company.
Save time and money.
Improved accuracy and precision.
Easily scale up.

Choose To Outsource Your Data Annotation Project

Yes, we offer everything you need to annotate your data on our platform. Sure, you can make that choice, and it is valid. You may have some very good reasons to do that. For most companies, it is far better to outsource data annotation. The benefits of outsourcing data annotation are clear. You need to take every competitive advantage, or you may fail before you even begin.

The adoption of AI in a wide range of industries and by consumers means that it grows rapidly, and there is a lot of money to be made. Most of that money is going to the largest and most successful companies. The largest companies succeed by focusing on their core mission and business functions.

Even the big companies begin to falter and fail when they take on too much or stray too far from their core business. We want you to succeed and change the world with your AI. We all want a self driving car that is safe and street legal everywhere, for example. That doesn't mean we're trying to be an automaker because we are a data annotation company. Likewise, if you are an automaker working on a self driving car, you don't want to be a data annotation company.

Leave the data annotation to us, and we will support your success. You need all the help you can get if you are a startup company. It takes a lot to create and iterate a good model and train it. It is easy to make mistakes and get lost along the way. You should think very carefully before committing to taking on your own data annotation. If you still want to make that choice, that is fine, and we can provide you with everything you need to do that. For most companies outsourcing is a far better choice.