How do we work?
Unlimited possibilities in a
01. Scope and specification
In this phase we collect the relevant information related to the problem statement, scope of work, boundary conditions and success criteria. Time / effort requirement : 1-2 meetings with the project in-charge and domain specialist (60 minutes).
02. Review and refine
Our experIn this phase, we set up the data pipeline and provide an initial dataset for review and approval. Change requests are handled in this stage. Time / effort requirement : 1-2 meetings with the domain specialist and data team (60-90 minutes).
03. Dataset delivery
Voila! We generate the required dataset, that is ready for you to train or validate your deep learning model. Offboarding, advice on training with synthetic image data and review of success criteria is a part of this stage. Time / effort requirement : 1-2 meetings with project in-charge and data team (30-60 minutes).