Artifacts using The OpenIMAJ General Machine Learning Library (5)
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Methods for the extraction of low-level image features, including global image features and pixel/patch classification models.
Last Release on Feb 9, 2020
Implementation of a flexible face-recognition pipeline, including pluggable detectors, aligners, feature extractors and recognisers.
Last Release on Feb 9, 2020
Implementations of various audio processors (e.g. multichannel conversion, volume change, ...).
Last Release on Feb 9, 2020
Methods for describing automatic image annotators
Last Release on Feb 9, 2020
The OpenIMAJ NLP Library contains a text pre-processing pipeline which goes from raw unstructured text to part of speech tagged stemmed text.
Last Release on Feb 9, 2020
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