开源软件名称：

likedan/Awesome-CoreML-Models

开源软件地址：

https://github.com/likedan/Awesome-CoreML-Models

开源编程语言：

开源软件介绍：

Since iOS 11, Apple released Core ML framework to help developers integrate machine learning models into applications. The official documentation

We've put up the largest collection of machine learning models in Core ML format, to help iOS, macOS, tvOS, and watchOS developers experiment with machine learning techniques.

If you've converted a Core ML model, feel free to submit a pull request.

Recently, we've included visualization tools. And here's one Netron.

Models

Image - Metadata/Text

Models that take image data as input and output useful information about the image.

TextDetection - Detecting text using Vision built-in model in real-time. Download | Demo | Reference
PhotoAssessment - Photo Assessment using Core ML and Metal. Download | Demo | Reference
PoseEstimation - Estimating human pose from a picture for mobile. Download | Demo | Reference
MobileNet - Detects the dominant objects present in an image. Download | Demo | Reference
Places CNN - Detects the scene of an image from 205 categories such as bedroom, forest, coast etc. Download | Demo | Reference
Inception v3 - Detects the dominant objects present in an image. Download | Demo | Reference
ResNet50 - Detects the dominant objects present in an image. Download | Demo | Reference
VGG16 - Detects the dominant objects present in an image. Download | Demo | Reference
Car Recognition - Predict the brand & model of a car. Download | Demo | Reference
YOLO - Recognize what the objects are inside a given image and where they are in the image. Download | Demo | Reference
AgeNet - Predict a person's age from one's portrait. Download | Demo | Reference
GenderNet - Predict a person's gender from one's portrait. Download | Demo | Reference
MNIST - Predict handwritten (drawn) digits from images. Download | Demo | Reference
EmotionNet - Predict a person's emotion from one's portrait. Download | Demo | Reference
SentimentVision - Predict positive or negative sentiments from images. Download | Demo | Reference
Food101 - Predict the type of foods from images. Download | Demo | Reference
Oxford102 - Detect the type of flowers from images. Download | Demo | Reference
FlickrStyle - Detect the artistic style of images. Download | Demo | Reference
RN1015k500 - Predict the location where a picture was taken. Download | Demo | Reference
Nudity - Classifies an image either as NSFW (nude) or SFW (not nude) Download | Demo | Reference
TextRecognition (ML Kit) - Recognizing text using ML Kit built-in model in real-time. Download | Demo | Reference
ImageSegmentation - Segment the pixels of a camera frame or image into a predefined set of classes. Download | Demo | Reference
DepthPrediction - Predict the depth from a single image. Download | Demo | Reference

Image - Image

Models that transform images.

HED - Detect nested edges from a color image. Download | Demo | Reference
AnimeScale2x - Process a bicubic-scaled anime-style artwork Download | Demo | Reference

Text - Metadata/Text

Models that process text data

Sentiment Polarity - Predict positive or negative sentiments from sentences. Download | Demo | Reference
DocumentClassification - Classify news articles into 1 of 5 categories. Download | Demo | Reference
iMessage Spam Detection - Detect whether a message is spam. Download | Demo | Reference
NamesDT - Gender Classification using DecisionTreeClassifier Download | Demo | Reference
Personality Detection - Predict personality based on user documents (sentences). Download | Demo | Reference
BERT for Question answering - Swift Core ML 3 implementation of BERT for Question answering Download | Demo | Reference
GPT-2 - OpenAI GPT-2 Text generation (Core ML 3) Download | Demo | Reference

Miscellaneous

Exermote - Predicts the exercise, when iPhone is worn on right upper arm. Download | Demo | Reference
GestureAI - Recommend an artist based on given location and genre. Download | Demo | Reference
Artists Recommendation - Recommend an artist based on given location and genre. Download | Demo | Reference

Visualization Tools

Tools that help visualize CoreML Models

Netron

Supported formats

List of model formats that could be converted to Core ML with examples

The Gold

Collections of machine learning models that could be converted to Core ML

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.

Individual machine learning models that could be converted to Core ML. We'll keep adjusting the list as they become converted.

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.