Havaintodatasetit
Havaintodatasetit, often translated as "observation datasets" or "perceptual datasets," refer to collections of data that capture real-world phenomena as observed by sensors or other measurement devices. These datasets are fundamental in various fields, particularly in machine learning, computer vision, robotics, and scientific research. They provide the raw material from which models learn to interpret, predict, and interact with the environment.
The nature of an observation dataset depends heavily on its source. For instance, in computer vision, datasets
Scientific disciplines also rely on observation datasets. Astronomers collect data from telescopes to study celestial objects,