Tiny Towns Scorer dataset
收藏Zenodo2022-12-12 更新2026-05-25 收录
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https://zenodo.org/record/7429656
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This is the dataset and model used for Tiny Towns Scorer, a computer vision project completed as part of CS 4664: Data-Centric Computing Capstone at Virginia Tech. The goal of the project was to calculate player scores in the board game Tiny Towns. The dataset consists of 226 images and associated annotations, intended for object detection. The images are photographs of players' game boards over the course of a game of Tiny Towns, as well as photos of individual game pieces taken after the game. Photos were taken using hand-held smartphones. Images are in JPG and PNG formats. The annotations are provided in TFRecord 1.0 and CVAT for Images 1.1 formats. The weights for the trained RetinaNet-portion of the model are also provided.
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Zenodo创建时间：
2022-12-12
