Best Image Recognition Software

Image recognition, also known as computer vision, allows applications using specific deep learning algorithms to understand images or videos. In these scenarios, images are data in the sense that they are inputted into an algorithm, the algorithm performs a requested task, and the algorithm outputs a solution provided by the image. One common execution for computer vision applications includes facial recognition—whether for tagging friends on Facebook or a police department identifying a potential suspect—solely based on an image. Another use for image recognition is in the medical field, where artificial intelligence, using image recognition, can observe an x-ray and decipher the diagnosis solely based on the image. Some other aspects of image recognition include image restoration, object recognition, and scene reconstruction. These capabilities may be embedded inside intelligent applications or offered as deep learning algorithms inAI platforms.

To qualify for inclusion in the Image Recognition category, a product must:

  • Provide a deep learning algorithm specifically for image recognition
  • Connect with image data pools to learn a specific solution or function
  • Consume the image data as an input and provide an outputted solution
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    Microsoft Computer Vision API is a cloud-based API tool that provides developers with access to advanced algorithms for processing images and returning informatio, by uploading an image or specifying an image URL, it analyze visual content in different ways based on inputs and user choices.

    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.

    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

    IBM Watson Visual Recognition is a tool that allow users to automatically identify subjects and objects contained within the image and organize and classify these images into logical categories.

    Derive insight from images with our powerful Cloud Vision API

    Azure Custom Vision Service is a tool for building custom image classifiers, and for making them better over time. This service enables you to identify your own objects and things in images.

    Microsoft Video API is a cloud-based API that provides advanced algorithms for tracking faces, detecting motion, stabilizing and creating thumbnails from video, it allows user to build more personalized and intelligent apps by understanding and automatically transforming video content.

    Azure Face API uses state-of-the-art cloud-based face algorithms to detect and recognize human faces in images.Its capabilities include features like face detection, face verification, and face grouping to organize faces into groups based on their visual similarity.

    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.

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    Clarifai offers a suite of tools that make it easy for anyone to quickly and accurately train, customize, and use machine learning-powered image and video recognition in their products.

    Microsoft Emotion API is a tool that analyze faces to detect a range of feelings and personalize your app's responses.

    scikit-image is a collection of algorithms for image processing.

    And this is where Google's deep dream ideas originate. With simple words you give to an AI program a couple of images and let it know what those images contain ( what objects - dogs, cats, mountains, bicycles, ... ) and give it a random image and ask it what objects it can find in this image.

    MobileEngine makes it easy for you to add image recognition to your app. You provide a reference database of images (e.g. artwork, consumer packaged goods, book covers, catalog pages, etc.) and when your users photograph that object, MobileEngine finds your matching reference image.

    DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming based on NumPy's ndarray,has a small and easily extensible codebase, runs on CPU or Nvidia GPUs and implements the following network architectures feedforward networks, convnets, siamese networks and autoencoders.

    Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first.

    Founded in 2013, Hive is a full-stack deep learning company focused on solving visual intelligence challenges for enterprises and governments through three main pillars of the business: Hive Data, Hive Predict, and Hive Media. Hive Data is the world's largest two-sided marketplace for machine learning data labeling. We have over 800,000 distributed workers helping research labs and enterprise clients generate high quality truth data sets in fields like autonomous driving and robotics. Hive Predi

    PCV is an open source Python module for computer vision AI is custom image recognition and classification API, designed to allow developers and businesses to analyze image data.

    Alibaba Cloud Image Search is an intelligent image search service that helps users find similar or identical images. Based on machine learning and deep learning, the product enables end-users to take a screenshot or upload an image to search and find desired products and fulfill other search requests

    Caffe is a deep learning framework made with expression, speed, and modularity in mind.

    IBM Intelligent Video Analytics helps security and public safety organizations develop comprehensive security, intelligence and investigative capabilities using video.

    VIGRA is a computer vision library that puts its main emphasis on flexible algorithms.

    Azure Video Indexer enables customers with digital video and audio content to automatically extract metadata and use it to build intelligent innovative applications.

    Image Processing is a tool that deals with array2d objects that contain various kinds of pixels or user defined generic image objects.

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