Core ML Models

TextDetection** - Detecting text using Vision built-in model in real-time. [Download]() | |

PhotoAssessment** - Photo Assessment using Core ML and Metal. | |

PoseEstimation** - Estimating human pose from a picture for mobile. | |

MobileNet** - Detects the dominant objects present in an image. | |

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

Inception v3** - Detects the dominant objects present in an image. | |

ResNet50** - Detects the dominant objects present in an image. | |

VGG16** - Detects the dominant objects present in an image. | |

Car Recognition** - Predict the brand & model of a car. | |

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

AgeNet** - Predict a person's age from one's portrait. | |

GenderNet** - Predict a person's gender from one's portrait. | |

MNIST** - Predict handwritten (drawn) digits from images. | |

EmotionNet** - Predict a person's emotion from one's portrait. | |

SentimentVision** - Predict positive or negative sentiments from images. | |

Food101** - Predict the type of foods from images. | |

Oxford102** - Detect the type of flowers from images. | |

FlickrStyle** - Detect the artistic style of images. | |

RN1015k500** - Predict the location where a picture was taken. | |

TextRecognition (ML Kit)** - Recognizing text using ML Kit built-in model in real-time. [Download]() | |

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

DepthPrediction** - Predict the depth from a single image. | |

PhotoAssessment** - Photo Assessment using Core ML and Metal. | |

PoseEstimation** - Estimating human pose from a picture for mobile. | |

MobileNet** - Detects the dominant objects present in an image. | |

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

Inception v3** - Detects the dominant objects present in an image. | |

ResNet50** - Detects the dominant objects present in an image. | |

VGG16** - Detects the dominant objects present in an image. | |

Car Recognition** - Predict the brand & model of a car. | |

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

AgeNet** - Predict a person's age from one's portrait. | |

GenderNet** - Predict a person's gender from one's portrait. | |

MNIST** - Predict handwritten (drawn) digits from images. | |

EmotionNet** - Predict a person's emotion from one's portrait. | |

SentimentVision** - Predict positive or negative sentiments from images. | |

Food101** - Predict the type of foods from images. | |

Oxford102** - Detect the type of flowers from images. | |

FlickrStyle** - Detect the artistic style of images. | |

RN1015k500** - Predict the location where a picture was taken. | |

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

DepthPrediction** - Predict the depth from a single image. | |

TextDetection** - Detecting text using Vision built-in model in real-time. [Download]() | |

PhotoAssessment** - Photo Assessment using Core ML and Metal. | |

PoseEstimation** - Estimating human pose from a picture for mobile. | |

MobileNet** - Detects the dominant objects present in an image. | |

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

Inception v3** - Detects the dominant objects present in an image. | |

ResNet50** - Detects the dominant objects present in an image. | |

VGG16** - Detects the dominant objects present in an image. | |

Car Recognition** - Predict the brand & model of a car. | |

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

AgeNet** - Predict a person's age from one's portrait. | |

GenderNet** - Predict a person's gender from one's portrait. | |

MNIST** - Predict handwritten (drawn) digits from images. | |

EmotionNet** - Predict a person's emotion from one's portrait. | |

SentimentVision** - Predict positive or negative sentiments from images. | |

Food101** - Predict the type of foods from images. | |

Oxford102** - Detect the type of flowers from images. | |

FlickrStyle** - Detect the artistic style of images. | |

RN1015k500** - Predict the location where a picture was taken. | |

TextRecognition (ML Kit)** - Recognizing text using ML Kit built-in model in real-time. [Download]() | |

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

DepthPrediction** - Predict the depth from a single image. | |

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

GestureAI** - Recommend an artist based on given location and genre. | |

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

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

GestureAI** - Recommend an artist based on given location and genre. | |

Artists Recommendation** - Recommend an artist based on given location and genre. | [Demo]() |

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

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

GestureAI** - Recommend an artist based on given location and genre. | |

Artists Recommendation** - Recommend an artist based on given location and genre. | [Demo]() |

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

Big list of models in Caffe format.

Automatic colorization using deep neural networks.

Detecting text in natural image.

Single image horizon line estimation.

Detect face from image.

Cloth detection from images.

The aesthetic evaluation of images.

Automatic spoken language identification.

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

Find semantically-meaningful dense correspondences between two input images.

Score the memorability of pictures.

Joint Face Detection and Alignment.

Collection of MXNet models.

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

Models for TensorFlow.

Another collection of TensorFlow Models.

Sentiment Polarity** - Predict positive or negative sentiments from sentences. | |

DocumentClassification** - Classify news articles into 1 of 5 categories. | |

iMessage Spam Detection** - Detect whether a message is spam. | |

NamesDT** - Gender Classification using DecisionTreeClassifier | |

Personality Detection** - Predict personality based on user documents (sentences). | |

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

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

Sentiment Polarity** - Predict positive or negative sentiments from sentences. | |

DocumentClassification** - Classify news articles into 1 of 5 categories. | |

iMessage Spam Detection** - Detect whether a message is spam. | |

NamesDT** - Gender Classification using DecisionTreeClassifier | |

Personality Detection** - Predict personality based on user documents (sentences). | |

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

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

Sentiment Polarity** - Predict positive or negative sentiments from sentences. | |

DocumentClassification** - Classify news articles into 1 of 5 categories. | |

iMessage Spam Detection** - Detect whether a message is spam. | |

NamesDT** - Gender Classification using DecisionTreeClassifier | |

Personality Detection** - Predict personality based on user documents (sentences). | |

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

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