The data labeling/ annotation process is one of the essential processes in Machine Learning and Artificial Intelligence development. The importance of quality datasets incorporated in these development processes is emphasized in the early stages of the processes because unproperly handled data can ruin the whole process, which only results in time and money wasted. Generating valuable training data is a time-consuming and nerve-wracking process that requires a lot of effort and investment.   If you decided to build a Machine Learning model be aware of the fact that you will need a data annotation tool in order to ensure high-quality data processing and outcome. Different tools offer different features related to data type support, storage options available, data security policies and practices, etc.

If you decide to do it on your own path, there are a few features that you should consider in the data annotation tool that will make it easier to operate with it:

• Wide range of supported file types
• The simplified connection between private APIs and tool
• Intuitive user experience
• Automation tools for boosting label efficiency

But if you’re not confident enough, maybe you should consider hiring a professional company, with a proven record of successfully finished projects. Numerous companies are available on the market, and the offered range is more than sufficient to meet most of the performances needed for data processing. Our company Tasq.ai is delivering highly valuable and respectful result with a comfortable and stable workflow. Our process workflow is simplified from start to end, with skilled professionals in data processing, regardless of data type, stage of the process, or sector for which the project is made. Also, we offer a wide range of services needed for Machine Learning and Artificial Intelligence development for various sectors and businesses. You can be comfortable hiring us for 2  or more simultaneously operating, different projects and testify to our constant improvement of the tool performances and level of service.