A CNN-RNN captioning system identifies jewelry type, material, and color, and reports over 90% exact-match accuracy on a 5,374-image catalog using three description detail levels.
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Automatic Identification and Description of Jewelry Through Computer Vision and Neural Networks for Translators and Interpreters
A CNN-RNN captioning system identifies jewelry type, material, and color, and reports over 90% exact-match accuracy on a 5,374-image catalog using three description detail levels.