Large-scale annotated datasets

Large-scale annotated datasets are extensive collections of data, such as images, texts, or videos, that have been carefully labeled with specific information—for example, identifying objects in photos or emotions in text. These labels help computers understand and learn from the data, enabling technologies like facial recognition, language translation, and autonomous vehicles. The larger and more detailed the dataset, the better the AI systems can learn patterns and make accurate predictions, leading to more reliable and advanced applications across many fields.