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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Compare Image Recognition Software

    Results: 34

    OpenCV
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    Deepdream
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    DeepPy
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    AForge.Vision
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    Amazon Rekognition
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    Azure Custom Vision Service
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    Azure Video Indexer
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    Caffe
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    CCV
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    DeepLearningKit
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    Dlib Image Processing
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    EBLearn
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    Gesture Recognition Toolkit
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    Hive
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    IBM Watson Visual Recognition
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    Image Recognition
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    Microsoft Computer Vision API
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    Microsoft Face API
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