January 2023
Intermediate to advanced
288 pages
6h 6m
Chinese
Content preview from 移动端AI与ML应用开发：基于iOS和Android
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62
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第
4
章
4.1.6
下一步
ML Kit 的内置图像标记模型可识别图像中的 400 多个类。在撰写本书时，它是 447 个
类，但这可能会改变。 ML Kit 的完整标签发布在
https://developers.google.cn/ml-kit/
vision/image-labeling/label-map
。如果你想训练一个模型来识别不同的类，那么你要使用
TensorFlow（我们将在第 9 章探讨）。
4.2
物体检测
4.1 节展示了如何进行图像分类和标记，其中计算机能够检测到图像中的内容，但不是
图像中物体的位置。这里使用了物体检测的概念。在这种情况下，当你将图像传递给物
体检测器时，你将返回一个物体列表，包括可用于确定物体可能在图像中的位置的边界
框。用于物体检测的 ML Kit 默认模型在挑选图像中的物体方面表现得非常出色，但在
你需要使用自定义模型之前，它可以分类的类数量仅限于 5 个。但是，将其与图像标记
（4.1 节）结合使用时，你可以获得图像中单个物体的分类，从而为它们获取标签！你可
以在图 4-5 中看到一个示例。
图
4-5
：执行物体检测
正文.indd 62正文.indd 62 2023-4-30 9:08:112023-4-30 9:08:11
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