Materials In Paintings (MIP): An interdisciplinary dataset for perception, art history, and computer vision

Materials In Paintings (MIP): An interdisciplinary dataset for perception, art history, and computer vision.<br><br>Download the README.txt first to help you decide what you want/need to download!<br>In this dataset, we capture the painterly depictions of materials to enable the study of depiction and perception of materials through the artists' eye. We annotated a dataset of 19k paintings with 200k+ bounding boxes from which polygon segments were automatically extracted. Each bounding box was assigned a coarse label (e.g., fabric) and a fine-grained label (e.g., velvety, silky).<br>Note that the data can be browed and explored on https://materialsinpaintings.tudelft.nl. If you only want to download a few paintings, using that website might be faster. <br><br><br>

绘画中的材料（Materials In Paintings，MIP）：面向感知研究、艺术史与计算机视觉的跨学科数据集。<br><br>请先下载README.txt文件，以确定您需要下载的内容！<br><br>本数据集收录绘画作品中各类材料的绘画性描绘，旨在支持从艺术家的视角开展材料描绘与材料感知相关研究。我们对19000幅绘画作品进行了标注，共生成20万余个边界框（bounding box），并从这些边界框中自动提取出多边形分割区域。每个边界框均被赋予两类标签：粗粒度标签（例如织物）与细粒度标签（例如天鹅绒质感、丝滑质感）。<br><br>请注意，您可在https://materialsinpaintings.tudelft.nl网站上浏览并探索本数据集。若您仅需下载少量绘画作品，通过该网站操作会更为便捷。<br><br><br>