participants / team
The National Museum of Taiwan Literature (NMTL) is the only museum of literature at the national level in Taiwan. The operational guidelines of the NMTL are to completely collect works on the history of Taiwan literature and make full use of them. The NMTL has more than 100,000 important rare books, writers’ manuscripts, and letters and articles on the history of Taiwan literature. The NMTL has the heavy responsibility of collecting, researching, publishing, displaying and promoting Taiwan literature. Along with the spaces of Library and Literary Wonderland to provide diversified services.
The Executive Yuan passed the third reading about the National Museum of Taiwan Literature Organization Act in 2021, designed to raise the administrative level of the museums from fourth-level to third-level agencies, which would benefit the NMTL’s work in the preservation, research and promotion of Taiwanese literature. In the future, the NMTL will strengthen the cultivation of preservation professionals and the capabilities of literary collection, and also to expand the literature-related space and link literary families in Taiwan.
National Museum of Taiwan Literature：https://www.nmtl.gov.tw/
NMTL's Archive Select：http://nmtltrans.tlvm.com.tw/
Digital Archive of Collection：https://collections.culture.tw/nmtl_collectionsweb/
Virtual Museum of Taiwan Literature：http://www.tlvm.com.tw/
The National Museum of Taiwan Literature (NMTL) is representative of museums housing collections of Taiwanese literature in terms of both quality and quantity. NMTL collects representative, important works and references in the history of Taiwanese literature. Examining and keeping a record of said collections on a regular basis enables NMTL staff to effectively keep track of their current status. NMTL has engaged in the task of examining and keeping a record of its collections for more than a decade and accumulated fruitful results. However, it is very time-consuming to examine the massive number of collections of over 110,000 works one by one in a manual manner. Consequently, this topic focuses on developing AI-based technologies for deterioration detection of collections . In the future, a database of deteriorated literary collections will be created. This database will not only help NMTL staff improve their efficiency in examining NMTL’s collections, but it will also support comparisons of the collections before and after exhibitions, while saving on manpower and time required for traditional photographing and examination techniques.
Those engaging in the fields of data analysis and science are invited to attend this event to provide training-related AI models, so as to help detect positions and types of deterioration of literary collections via the provided image data. It is hoped that this event can benefit NMTL in examining its collections.
First place: USD＄2,000 (tax inclusive)
Second place: USD＄1,000 (tax inclusive)
Third place: USD＄500 (tax inclusive)
The time of this event is Indian Standard time (UTC+5.5). The agenda is as follows:
|2021/12/17||Available for download|
|2022/01/03||Online submission available|
|2022/03/18||Online submission deadline|
|2022/03/19||Private Leaderboard announcement|
|2022/03/25||Reports submission deadline|
|2022/03/31||Prize Winners announcement|
Mean Average Precision (mAP)  will be adopted for this topic’s data evaluation metrics; the Intersection over Union (IoU)  threshold is 0.5. When the IoU of predicted and labelled bounding boxes containing objects is greater than 0.5, it means True Positive (TP). Conversely, when the IoU is less than 0.5, it means False Positive (FP). The measured values will be used to calculate precision. The AP score of each object will be evaluated via the system. The average of the AP scores of the five types of objects that have been deteriorated will be calculated to obtain mAP evaluation values. Participants will be ranked in accordance with said values. COCO API will be adopted for the calculation of mAP evaluation values.
 Average Precision (AP):
 intersection over union (IoU):
 COCO API: