Shypd.aiThe largest open index of AI toolsillustration2vec is a deep learning library for estimating tags and extracting semantic feature vectors from illustrations. It provides pre-trained models for tag prediction and feature extraction.
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illustration2vec is a simple deep learning library designed for estimating a set of tags and extracting semantic feature vectors from given illustrations. It leverages Convolutional Neural Networks and offers pre-trained models for immediate use. The library supports both tag prediction, classifying tags into general, copyright, character, and rating categories, and the extraction of 4,096-dimensional real or binary feature vectors. It requires Python libraries like numpy, scipy, PIL/Pillow, skimage, and either Caffe or Chainer. The tool is open-source, with models provided under the MIT License, making it suitable for researchers and developers in image analysis and machine learning.
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