V7 is the AI data engine enabling better AI products to reach the market faster, with reduced costs and less risk. Its key features include auto-labeling, dataset management, customizable workflows, and the highest security standards.
The collaboration will enable customers to create a dataset in Databricks, annotate the data in V7 and then load the annotations back into Databricks for easy querying and model training.
Combining V7 and Databricks allows you to easily create workflows where data transfer, management, and labeling is done from one central location using only a few lines of code.
V7 handles all images and videos in native formats. We also support medical imagery, including DICOM, NIfTI, and WSI, making us the best choice for healthcare and life sciences.
The V7 API, Python SDK, and PySpark module let you extend your data workflows with ready-to-use code snippets. Easily connect with other MLOps platforms and integrate your annotated data into Databricks.
Video streaming presents frequent issues for computer vision tasks that V7 has strategically addressed by building a best-in-class streaming, video timeline, and model integration offering.