Watson Visual Recognition API

Question

我正在尝试使用Watson Visual Recognition API作为OCR组件，但是当它在计算机化文本上做得很好时，我想进一步扩展它以识别“Nicely-handwritten”文本。

是否可以使用自定义分类器来训练API？如果有，有人确实已经尝试过，它有效吗？

Answer 1

As mentioned, the text recognition part of Watson Visual Recognition cannot be trained by users.

The custom classifier learning functions cannot be used effectively for text recognition. They are designed for classifying a wide array of photographic-style images of scenes, activities, objects, animal types, etc. Text reco is a pretty different problem. In some limited situations, you could train a classifier to do text-related tasks, like to tell the difference between signs (such as Yield vs. Stop) or icons (like logos) for example but it would not be "reading" the text - it would be discriminating based on the overall appearance of the image - including color, shapes, textures, etc.

Answer 2

此时WVR的文本识别部分是BETA（as mentioned in documentation）。据我所知，它无法接受培训。