An overview of Ground Truth Data
Ground Truth Data refers to the data accumulated from actual scenarios. This real-world data helps in training different algorithms on human contextual behavior such as spatial position, natural language text, human behavior, and gestures as well as natural language text.
The term ‘Ground Truth’ has been taken from geological sciences which explains the fact that this data has been checked and collected directly from the ground. This notion has also been implemented in various fields to explain the condition of the correct data.
With massive progress in the technological field, we can certainly observe that the connection between machines and humans is transforming from mice and keyboards to voice commands, touch screens, facial recognition, gestures, etc. The methods of engaging or communicating with machines are changing drastically.
Machine learning and artificial intelligence are the reasons behind this particular technological transformation because the algorithms used in the machines are the precise ground truth data which helps in constructing efficient algorithms for real-world applications. Due to artificial intelligence and machine learning ground truth data has created a massive impact in the technological field.
Nowadays various products heavily depend on artificial intelligence as well as machine learning technology. For example, self-driving cars, smart home technology, VR headsets, etc. According to market research conducted in 2018, the overall market size of the artificial intelligence market was around 349 million dollars during that particular year and it is expected to have a CAGR of 51.1 percent in the next seven years (2019 to 2025).
Although we are still at the beginning of artificial intelligence and machine learning technology, there are multiple companies as well as industries that are unearthing the major benefits of these technologies. Some of these industries are healthcare, financial services, energy, retail, manufacturing, creative arts, media, etc.
Importance of ground truth data
Any company that is developing or manufacturing a product that revolves around or makes use of artificial intelligence and machine learning needs ground truth data. You will also require ground truth data if human interaction is correlated with your product.
The reason behind the extensive requirement of ground truth data is that if the companies want to increase the efficiency and prolificacy of their products and services they need to focus on the efficiency of the artificial intelligence and machine learning algorithms. Likewise to increase the accuracy of the algorithms you will require high-quality data that ground truth data can provide.
If we are unable to properly handle and accumulate the data then the algorithms won’t be able to perform with higher accuracy therefore, it will subsequently affect the customer experience.
With the rate at which we are encountering technological progress every day around us, machines or systems will become increasingly interactive. They will become more progressive when it comes to determining an action, taking decisions, predicting situations, and providing suggestions.
We can already come across the work of machine learning and artificial intelligence algorithms through AI cameras, smart home technologies, virtual assistants, self-driving cars, computer interactions, etc.
This huge paradigm shift can be represented by all the technologies we are using every day and most importantly to produce these systems and products ground truth data has played a pivotal role.