| 来源类型 | Article |
| 规范类型 | 其他 |
| A method for increasing the accuracy of image annotating in crowd-sourcing. | |
| Nurmukhametov OR | |
| 发表日期 | 2016 |
| 出处 | Modern Problems in Mathematics and its Applications 1662: 206-214. |
| 出版年 | 2016 |
| 语种 | 英语 |
| 摘要 | Crowdsourcing is a new approach to solve tasks when a group of volunteers replaces experts. Recent results show that crowdsourcing is an efficient tool for annotating large datasets. Geo-Wiki is an example of successful citizen science projects. The goal of Geo-Wiki project is to improve a global land cover map by applying crowdsourcing for image recognition. In our research, we investigate methods for increasing reliability of data collected during The Cropland Capture Game (Geo-Wiki). In this regard, we performed analysis of all main steps of the crowdsourcing campaign: image processing and aggregation of collected votes. During the research, we used methods of Computer Vision and Machine Learning. This allowed us to increase accuracy of the aggregated votes from 76% to 87%. Copyright © by the paper's authors. |
| 主题 | Advanced Systems Analysis (ASA) |
| 关键词 | Crowdsourcing Data quality Geo-Wiki Image classification |
| URL | http://pure.iiasa.ac.at/id/eprint/13833/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/130474 |
| 推荐引用方式 GB/T 7714 | Nurmukhametov OR. A method for increasing the accuracy of image annotating in crowd-sourcing.. 2016. |
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| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| A%20method%20for%20i（3476KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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