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项目描述：项目基于 CNN，通过深度学习技术自动分类垃圾，以提高垃圾分类的效率和准确性。系统集成了多种先进 的图像识别模型，如 MobileNetV2、ResNet50 和 EfficientNetB0，以适应不同的计算需求和环境限制。 项目实现：利用 Python 编程语言和 TensorFlow 框架，项目实现了从数据采集、预处理到模型训练和部署的完整流程。通 过构建 Flask Web 应用，用户可以上传垃圾图片，系统自动识别并分类，准确率高达 98%。
☆20Feb 8, 2025Updated last year
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