This experimental study used a checklist to evaluate the performance of seven search engines consisting of four Image General Search Engines (IGSEs) (namely, Google, Yahoo DuckDuckGo and Bing), and three Image Specialized Search Engines (ISSEs) (namely, Flicker, PicSearch, and GettyImages) in image retrieval. The findings indicated that the recall average of Image General Search Engines and Image Specialized Search Engines was found to be 76.32% and 24/51% with the precision average of 82/08% and 32/21%, respectively. As the results showed, Yahoo, Google and DuckDuckGo ranked at the top in image retrieval with no significant difference. However, a remarkable superiority with almost 50% difference was observed between the general and specialized image search engines. It was also found that an intense competition existed between Google, Yahoo and DuckDuckGo in image retrieval. The overall results can provide valuable insights for new search engine designers and users in choosing the appropriate search engines for image retrieval. Moreover, the results obtained through the applied equations could be used in assessing and evaluating other search tools, including search engines.

这项实验性研究使用了一份清单来评估七个搜索引擎的性能，其中包括四个图像通用搜索引擎（IGSE）（即Google，Yahoo DuckDuckGo和Bing）和三个图像专用搜索引擎（ISSE）（即Flicker，PicSearch）和GettyImages）。调查结果表明，图像通用搜索引擎和图像专业搜索引擎的召回率平均值分别为76.32％和24/51％，精确度平均值分别为82/08％和32/21％。结果显示，Yahoo，Google和DuckDuckGo在图像检索中排名最高，没有显着差异。但是，在普通图像搜索引擎和专用图像搜索引擎之间发现了近50％的显着优势。还发现Google之间存在激烈的竞争，Yahoo和DuckDuckGo进行图像检索。总体结果可以为新的搜索引擎设计者和用户提供有价值的见解，从而为图像检索选择合适的搜索引擎。此外，通过应用等式获得的结果可用于评估和评估其他搜索工具，包括搜索引擎。