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README.md
Microsoft Project Oxford Computer Vision client SDK and samples
This repo contains the client libraries that demonstrate Microsoft’s cloud-based computer vision algorithms designed to return information based on the visual content, and to generate your ideal thumbnail. With this API, you can choose which visual features you want to extract that best suit your needs. See the tech in action on our demo page or learn more about the API with our documentation.
Analyze an image
This module will produce visual features based on the input image's visual content -- image categories, pornographic detection, dominant color, and more.
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Use the adult and racy features to enable automated restriction of sexual content and protect your users.
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Utilize categorization to help append tags to images, as well as group images into clusters.
Generate a thumbnail
Given an input image, you will be able to generate a high quality and storage efficient thumbnail.
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Leverage thumbnail generation to help present images in the best form suited to your needs.
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Use smart cropping for thumbnails that are different than the aspect ratio of your original image in order to preserve the region of interest.
OCR
Optical Character Recognition (OCR) detects text in an image and extracts the recognized characters into a machine-usable character stream.
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Run on embedded images to generate text and enable searching.
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Allow users to take photos of text instead of transcribing to save time and effort.
Getting started
To get started, select the platform for which you're developing.
Contributing
We welcome contributions and are always looking for new SDKs, input, and suggestions. Feel free to file issues on the repo and we'll address them as we can. You can also learn more about how you can help on the Contribution Rules & Guidelines.
For questions, feedback, or suggestions about Project Oxford services, feel free to reach out to us directly.
License
All Project Oxford SDKs and samples are licensed with the MIT License. For more details, see LICENSE.
Sample images are licensed separately, please refer to LICENSE-IMAGE.