By experimenting on the popular shape dataset, it gets a promising recognition rate of 90.6% and 93% for hand-tools and affine transformed dataset, respectively. It proves the method is effective.
在手工工具数据集和仿射变换数据集中进行测试,结果表明,该方法的识别率分别达到90.6%和93%,从而验证其有效性。
By experimenting on the popular shape dataset, it gets a promising recognition rate of 90.6% and 93% for hand-tools and affine transformed dataset, respectively. It proves the method is effective.
在手工工具数据集和仿射变换数据集中进行测试,结果表明,该方法的识别率分别达到90.6%和93%,从而验证其有效性。
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