Development Seed's Data team has a structured and efficient workflow that includes all the processes necessary to generate high-quality training datasets, which in turn helps speed up the data annotation process.

Once the project requirements and data inputs are established, the project development workflow contains three main processes: data exploration and engineering, data annotation, and data output. Customized workflows are developed and refined within each process until the training dataset is complete.

Alongside the technical workflow customization during project development, quality assurance and continuous communication ensure the training data aligns with the partner’s expectations.

In the following sections about our workflow processes, you can find more details:

• Data input
• Data exploration and engineering
• Data annotation
• Data output
• Quality assurance
• Continuous communication