{'fraction_non_alphanumeric': 0.019498607242339833, 'fraction_numerical': 0.0, 'mean_word_length': 4.661417322834645, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Web-scale image search by color sketch

Most existing image search engines rely on the associated texts or tags with images to index and retrieval images, which results in limited ability on searching images with visual requirement. In this demonstration, we present an image search system, which enables consumers to find images on the requirement of how the colors are spatially distributed. It is a well-designed trade-off between scalability and feasibility. To the best knowledge, this system is the first one to scale up to Web-scale images. The interface is very intuitive and requires users to only scribble a few color strokes or drag an image and mask a few regions of interest, to express the search intent.