Technical questions about creating solutions with expert.ai
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The data labeling process for machine learning datasets is vital for the performance of the model. First of all, it would be essential to ascertain the type of data labeling; check if you are looking for data labeling at scale or want a dataset prepared for a pilot project.Data labeling can be done manually if there are a few rows and the data is textual; to be used for testing the functioning of basic machine learning models. There are several open-source data annotation tools available for usage, which can be used for sorting data. If your data labeling needs are diverse then you will need to find a suitable data labeling tool.However, if both data and the model with business objectives require professional-grade handling with right data labeling tools then approaching a data labeling solution provider is a good idea. Data labeling companies provide different kinds of annotation such as Bounding Box, Semantic Segmentation, Landmarking, Polygon, Polyline, 3D Cuboid, LIDAR Annotation.
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