AI Mobile Application for Archaeological Dating of Bronze Dings
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Abstract (arXiv)
We develop an AI application for archaeological dating of bronze Dings. A classification model is employed to predict the period of the input Ding, and a detection model is used to show the feature parts for making a decision of archaeological dating. To train the two deep learning models, we collected a large number of Ding images from published materials, and annotated the period and the feature parts on each image by archaeological experts. Furthermore, we design a user system and deploy our pre-trained models based on the platform of WeChat Mini Program for ease of use. Only need a smartphone installed WeChat APP, users can easily know the result of intelligent archaeological dating, the feature parts, and other reference artifacts, by taking a photo of a bronze Ding. To use our application, please scan this QR code by WeChat.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 3 of its 5 references that are in the map. First posted on arXiv 5 Sep 2023.
Builds on
3 of 5 references.
References · 3
- 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,617
- 2022A ConvNet for the 2020scited by 3,545
- 2020Sparse R-CNN: End-to-End Object Detection with Learnable Proposalscited by 494
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