如果您仍在寻找图像识别 API，您可以在 www 上尝试我们的平台.recognize.im。您可以上传自己的图像数据库，然后当您将图像发送到 API 时，您将从数据库中获取图像 ID。 最好的祝愿！
(Disclaimer: I work for Recognize.im)
If you are still looking for an image recognition API, you could try out our platform at www.recognize.im. You can upload your own image database and then when you send an image to the API, you will get the image id from your database. Best wishes!
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kooaba http://www.kooaba.com 实际上是运行时间最长的图像识别平台之一（甚至在 Goggles 之前就开始使用）出来了）。
[编辑：URL 为 https://developer.vuforia.com（高通公司于 2014 年收购了 Kooaba）]
所以这是您可以尝试的另一项服务。
与 recognize.im kooaba 相比，除了上传自己的数据库之外，您还可以使用数据库。
与 iqengines 相比，kooaba 为您提供结构良好的元数据作为响应，而对于大多数事物，iqengines 只提供一个“标签”。
kooaba http://www.kooaba.com is actually one of the longest running image recognition platforms (started even before Goggles came out).
[EDIT: the URL is https://developer.vuforia.com (Qualcomm bought Kooaba in the year 2014)]
So this is another service you might give a shot.
Compared to recognize.im kooaba already databases you can use in addition to uploading your own.
Compared to iqengines, kooaba gives you nicely structured meta-data as a response, whereas for most things iqengines just gives a "tag".
找到了这家提供图像识别 API 的初创公司：http://developer.iqengines.com/
Found this start-up with an image recognition API: http://developer.iqengines.com/
（免责声明：我在 Recognize.im 工作）
如果您仍在寻找图像识别 API，您可以在 www 上尝试我们的平台.recognize.im。您可以上传自己的图像数据库，然后当您将图像发送到 API 时，您将从数据库中获取图像 ID。
最好的祝愿！
(Disclaimer: I work for Recognize.im)
If you are still looking for an image recognition API, you could try out our platform at www.recognize.im. You can upload your own image database and then when you send an image to the API, you will get the image id from your database.
Best wishes!