For many years, artificial intelligence was limited to tasks such as object recognition and classification. However, with the emergence of generative AI, machines are now capable of creating entirely new content on their own. From music to art and speeches, generative AI is revolutionizing the way we think about creativity and innovation. However, AI can only do so much before human involvement is needed, which is a key step in its development.

We are thrilled to announce the latest video labeling features on the DataForce platform. These updates simplify and accelerate accurate object annotations within the frames of a video. With a variety of new tools, such as key points; bounding boxes; Polygon; Cuboid; and the intuitive, intelligent Scissors—an auto-labeling tool, annotating videos has never been more efficient and exact

The life sciences industry has always generated enormous amounts of data. In a digital age, data proliferation in life sciences is more vigorous than ever, to the extent that data may be as essential to a company’s value proposition as its pipeline, products, or research and development (R&D).

It is only in more recent years, though, with the emergence of artificial intelligence (AI) and machine learning (ML), that the industry has started to leverage the full potential of its data reserves in the patient’s journey, R&D, manufacturing, and even marketing. However, since a lot of the produced data is unstructured, there is a need for annotation and augmentation services to ensure this data is put to best use.