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Awesome-CoreML-Models

by likedan

awesome listPythonpushed over 3 years ago

Largest list of models for Core ML (for iOS 11+)

AI summary

ML models

Provides pre-trained Core ML models for machine learning tasks

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What's in the list

61 links in 8 sections, with live GitHub stats.activeno commit in 2y

Image - Metadata/Text

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    Detecting text using Vision built-in model in real-time. | |

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    Photo Assessment using Core ML and Metal. | |

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    Estimating human pose from a picture for mobile. | |

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    Detects the dominant objects present in an image. | |

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    Detects the scene of an image from 205 categories such as bedroom, forest, coast etc. | |

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    Detects the dominant objects present in an image. | |

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    Detects the dominant objects present in an image. | |

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    Detects the dominant objects present in an image. | |

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    Predict the brand & model of a car. | |

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    Recognize what the objects are inside a given image and where they are in the image. | |

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    Predict a person's age from one's portrait. | |

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    Predict a person's gender from one's portrait. | |

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    Predict handwritten (drawn) digits from images. | |

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    Predict a person's emotion from one's portrait. | |

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    Predict positive or negative sentiments from images. | |

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    Predict the type of foods from images. | |

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    Detect the type of flowers from images. | |

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    Detect the artistic style of images. | |

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    Predict the location where a picture was taken. | |

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    Classifies an image either as NSFW (nude) or SFW (not nude) | |

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    Recognizing text using ML Kit built-in model in real-time. | |

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    Segment the pixels of a camera frame or image into a predefined set of classes. | |

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    Predict the depth from a single image. | |

Image - Image

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    Detect nested edges from a color image. | |

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    Process a bicubic-scaled anime-style artwork | |

Text - Metadata/Text

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    Predict positive or negative sentiments from sentences. | |

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    Classify news articles into 1 of 5 categories. | |

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    Detect whether a message is spam. | |

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    Gender Classification using DecisionTreeClassifier | |

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    Predict personality based on user documents (sentences). | |

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    Swift Core ML 3 implementation of BERT for Question answering | |

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    OpenAI GPT-2 Text generation (Core ML 3) | |

Miscellaneous

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    Predicts the exercise, when iPhone is worn on right upper arm. | |

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    Recommend an artist based on given location and genre. | |

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    Recommend an artist based on given location and genre. | |

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    Predicts the most likely next chord based on the entered Chord Progression. | |

Visualization Tools

Supported formats

The Gold

  • Caffe Model Zoo

    Big list of models in Caffe format

  • TensorFlow Models

    Models for TensorFlow

  • TensorFlow Slim Models

    Another collection of TensorFlow Models

  • MXNet Model Zoo

    Collection of MXNet models

  • LaMem

    Score the memorability of pictures

  • ILGnet

    The aesthetic evaluation of images

  • Colorization

    Automatic colorization using deep neural networks

  • Illustration2Vec

    Estimating a set of tags and extracting semantic feature vectors from given illustrations

  • CTPN

    Detecting text in natural image

  • Image Analogy

    Find semantically-meaningful dense correspondences between two input images

  • iLID

    Automatic spoken language identification

  • Fashion Detection

    Cloth detection from images

  • Saliency

    The prediction of salient areas in images has been traditionally addressed with hand-crafted features

  • Face Detection

    Detect face from image

  • mtcnn

    Joint Face Detection and Alignment

  • deephorizon

    Single image horizon line estimation

Contributing and License

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