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# Workflow

We propose the following workflow to create Deep Learning inspection tools. **Deep Learning Studio** implements this workflow through the creation of a project and its tabs. The API is also designed to support this workflow.

Which tool should I use for my application?

Manage the dataset and annotate your images.

Split your dataset in 3 parts for robust evaluation of performances.

Select and configure data augmentation settings for your data.

Training a Deep Learning tool.

Using a Deep Learning tool and making prediction on new images.

Benchmark the speed of your trained tools and optimize the execution settings to maximize inference speed.
