Microsoft Computer Vision API is not the only option for Image Recognition Software. Explore other competing options and alternatives. Other important factors to consider when researching alternatives to Microsoft Computer Vision API include content. The best overall Microsoft Computer Vision API alternative is Google Cloud Vision API. Other similar apps like Microsoft Computer Vision API are OpenCV, Amazon Rekognition, Clarifai, and SimpleCV. Microsoft Computer Vision API alternatives can be found in Image Recognition Software but may also be in Emotion AI Software or Data Labeling Software.
Google Cloud Vision API enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API. Leveraging our API, developers can quickly build applications able to classify images into thousands of categories (e.g., "sailboat", "lion", "Eiffel Tower"), detect individual objects and faces within images, build metadata on image catalog, moderate offensive content, enable new marketing scenarios through image sentiment analysis, and more.
OpenCV is a tool that has has C++, C, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android for computational efficiency and with a strong focus on real-time applications, written in optimized C/C++, the library can take advantage of multi-core processing and enabled to take advantage of the hardware acceleration of the underlying heterogeneous compute platform
Amazon Rekognition makes it easy to add image and video analysis to your applications. It can identify the objects, people, text, scenes, and activities, or any inappropriate content from an image or video.
SimpleCV is an open source framework for building computer vision applications, user can get access to several high-powered computer vision libraries such as OpenCV without having to learn about bit depths, file formats, color spaces, buffer management, eigenvalues, or matrix versus bitmap storage.
scikit-image is a collection of algorithms for image processing.
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NVIDIA Deep Learning GPU Training System (DIGITS) deep learning for data science and research to quickly design deep neural network (DNN) for image classification and object detection tasks using real-time network behavior visualization.
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