Using a very small dataset of fruit (apples, bananas, blueberries, cherries, kiwi, persimmons, and strawberries) you will learn how to use Encord with images and videos.For all the tasks in this end-to-end process, all artifacts, relevant information, and code is provided. How you want to proceed is up to you. Each section provides a path to use Encord from basic use to SOTA (state-of-the-art) complexity. Pick the path at each STEP that suits your needs best.
Import data: Get our data into Encord. We might want to manage and curate our data, but that is going to depend on how much data we have or how complex our Projects are.
Label data: Label our data and export the labels. This is going to involve creating a Project and then actually labelling and reviewing our labels. Once our labels are okay we can export them from Encord.
Validate our labels: At scale, using Active streamlines and significantly speeds up validating our labels.
Evaluate our model: Compare and optimize our model’s performance using Active.
How you intend to use your data in Encord dictates the best way to use Encord. Using cloud integrations, the SDK, or Task Agents adds complexity to using Encord, but at scale, this complexity adds significant value.
Label verification can be performed visually in Annotate as a reviewer. However, at scale, using Active to verify the quality of your labels significantly improves the effectiveness and speed of label verification.