The process of integrating custom machine learning models within the Label Studio environment via its ML backend allows users to leverage specialized or proprietary algorithms for pre-annotation and active learning tasks. This... Read more »
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This refers to a specific integration involving a labeling tool’s machine learning backend and a particular version of a widely-used object detection model. It represents a combination of software components used for... Read more »
The integration of a data labeling platform with a specific object detection model’s server-side component allows for the streamlined creation of training datasets. This combination enables users to annotate images and videos... Read more »
This refers to the process of integrating custom machine learning models within the Label Studio environment using its machine learning backend. It involves incorporating user-defined algorithms and predictive capabilities, going beyond the... Read more »