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## Trained models
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Transfert training of a dedicated CNN model, leveraging this ground truth, might be a good option. A simple model of 3 classes, 15 images per class, trained with IBM Watson Visual Recognition/ (object detection or classification features), gives good results on test images taken from newspapers not used in the training set.
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Inferencing the dataset can then be done with curl (or a script language):
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Inferencing the dataset images can then be done with curl (or a script language):
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`curl -X POST -u "apikey:{apikey}" --form "images_file=@ftest_image" "https://gateway.watsonplatform.net/visual-recognition/api/v3/classify?version=2018-03-19& classifier_ids=DefaultCustomModel_1457318034"`
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