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  Data Annotation in Healthcare The healthcare sector is one of the largest generators of data. It contributes to 30% of the total data generated in the world, as of 2022 . By 2025 , the number is expected to reach 36% . The increase in sources of data such as wearables and mobile apps, and the digitisation of health records are contributing to this explosion. Artificial intelligence is expected to play a major role in transforming healthcare and making it more accessible and affordable. Applications of AI include analysis of medical images, drug development, robotic surgeries, and even administrative activities like scheduling an appointment. However, behind the sophisticated world of AI is a crucial activity called data annotation. In this blog, we present data annotation in healthcare in detail Why is data annotation in healthcare important? It is common knowledge that artificial intelligence can perform complex computations and calculations much faster than the human min...

Data Annotation tool is cloud-based, on-premise, or containerized software that can be used to make annotations on production-quality training data to aid in machine learning. While some companies opt for a DIY approach and develop the tools themselves, plenty of data annotation tools are available as open and free software. They are also available commercially, both for lease and purchase. The data annotation tools are generally developed to be used with particular data types, like video, images, text, audio, spreadsheet data, or sensor data.  Open source is the best option for tools for data annotation. There are open-source Data annotation tools that are available. You can use an open-source tool to help yourself or utilize it to kick-start your build process.  There are a variety of open source projects to help you with tools that deal with video, image natural language processing and transcription. Using such tools is a good choice for a project that is only a once-o...