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Name: Xiaonan Li
Type: User
Name: Xiaonan Li
Type: User
对老年人阿兹海默症的预判可以通过钟表测试进行,及通过观察其能否画出正常的指定钟表盘,通过打分的形式判断其是否患有该病症。 该项目的目的是通过构建机器学习模型对老人所画钟表进行智能化识别并打分。在项目中我们使用的是vgg-16模型的变形,使项目在数据集较小的情况下达到了70%的准确率。 项目共两人完成,我主要负责与老人院沟通获得数据,预处理数据,并选择模型进行训练,对vgg-16的参数进行调试,和最终运行算法的代码编写 该项目为机器学习课程期末项目,最终入选模范项目,被收录到课程代表项目列表中。
上海汇丰银行和上海纽约大学共同举办的建模大赛作品。
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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