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    Diffgram

    Diffgram

    Training data (data labeling, annotation, workflow) for all data types

    ...Training Data is the art of supervising machines through data. This includes the activities of annotation, which produces structured data; ready to be consumed by a machine learning model. Annotation is required because raw media is considered to be unstructured and not usable without it. That’s why training data is required for many modern machine learning use cases including computer vision, natural language processing and speech recognition.
    Downloads: 9 This Week
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