Abstract: Image has become a new hot spot in digital humanities research, and image annotation is the main way of image knowledge transfer and value reveal. Object detection, as a computer technology related to computer vision and image processing, can quickly realize the location and classification of target objects in images in batches. The paper first introduces the relevant principles of object detection, and proposes a complete image application ecological process which combines the Visual Object Tagging Tool (VoTT) and the Multi-Dimensional Image Smart System (MISS). At the same time, an image multi-layer annotation model framework is proposed which contains four dimensions: image layer, object layer (content and label), and semantic layer. The selection of the annotation area and the label of the object layer will use the results of automatic labeling with VoTT. In the end, the paper exemplifies the proposed framework and technologies through cases, in order to provide more application perspectives for the research of digital humanistic images.

Key words: object detection; , digital humanities; , image annotation; , International Image Interoperability Framework (IIIF)