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{
"types": [
"image",
"image-image",
"text",
"miscellaneous"
],
"models": [
{
"name": "TextDetection",
"description": "Detecting text using Vision built-in model in real-time.",
"download_link": "",
"demo_link": "https://github.com/tucan9389/TextDetection-CoreML",
"reference_link": "https://developer.apple.com/documentation/vision",
"type": "image"
},
{
"name": "PhotoAssessment",
"description": "Photo Assessment using Core ML and Metal.",
"download_link": "https://github.com/yulingtianxia/PhotoAssessment/blob/master/PhotoAssessment-Sample/Sources/NIMANasnet.mlmodel",
"demo_link": "https://github.com/yulingtianxia/PhotoAssessment",
"reference_link": "https://arxiv.org/abs/1709.05424",
"type": "image"
},
{
"name": "PoseEstimation",
"description": "Estimating human pose from a picture for mobile.",
"download_link": "https://github.com/edvardHua/PoseEstimationForMobile/tree/master/release",
"demo_link": "https://github.com/tucan9389/PoseEstimation-CoreML",
"reference_link": "https://github.com/edvardHua/PoseEstimationForMobile",
"type": "image"
},
{
"name": "MobileNet",
"description": "Detects the dominant objects present in an image.",
"download_link": "https://github.com/hollance/MobileNet-CoreML/raw/master/MobileNet.mlmodel",
"demo_link": "https://github.com/hollance/MobileNet-CoreML",
"reference_link": "https://arxiv.org/abs/1704.04861",
"type": "image"
},
{
"name": "Places CNN",
"description": "Detects the scene of an image from 205 categories such as bedroom, forest, coast etc.",
"download_link": "https://github.com/hollance/MobileNet-CoreML/raw/master/MobileNet.mlmodel",
"demo_link": "https://github.com/chenyi1989/CoreMLDemo",
"reference_link": "http://places.csail.mit.edu/index.html",
"type": "image"
},
{
"name": "Inception v3",
"description": "Detects the dominant objects present in an image.",
"download_link": "https://github.com/yulingtianxia/Core-ML-Sample/blob/master/CoreMLSample/Inceptionv3.mlmodel",
"demo_link": "https://github.com/yulingtianxia/Core-ML-Sample/",
"reference_link": "https://arxiv.org/abs/1512.00567",
"type": "image"
},
{
"name": "ResNet50",
"description": "Detects the dominant objects present in an image.",
"download_link": "https://github.com/ytakzk/CoreML-samples/blob/master/CoreML-samples/Resnet50.mlmodel",
"demo_link": "https://github.com/ytakzk/CoreML-samples",
"reference_link": "https://arxiv.org/abs/1512.03385",
"type": "image"
},
{
"name": "VGG16",
"description": "Detects the dominant objects present in an image.",
"download_link": "https://docs-assets.developer.apple.com/coreml/models/VGG16.mlmodel",
"demo_link": "https://github.com/alaphao/CoreMLExample",
"reference_link": "https://arxiv.org/abs/1409.1556",
"type": "image"
},
{
"name": "Car Recognition",
"description": "Predict the brand & model of a car.",
"download_link": "https://github.com/likedan/Core-ML-Car-Recognition/blob/master/Convert/CarRecognition.mlmodel",
"demo_link": "https://github.com/ytakzk/CoreML-samples",
"reference_link": "http://mmlab.ie.cuhk.edu.hk/datasets/comp_cars/index.html",
"type": "image"
},
{
"name": "YOLO",
"description": "Recognize what the objects are inside a given image and where they are in the image.",
"download_link": "https://github.com/hollance/YOLO-CoreML-MPSNNGraph/blob/master/TinyYOLO-CoreML/TinyYOLO-CoreML/TinyYOLO.mlmodel",
"demo_link": "https://github.com/hollance/YOLO-CoreML-MPSNNGraph",
"reference_link": "http://machinethink.net/blog/object-detection-with-yolo",
"type": "image"
},
{
"name": "AgeNet",
"description": "Predict a person's age from one's portrait.",
"download_link": "https://drive.google.com/file/d/0B1ghKa_MYL6mT1J3T1BEeWx4TWc/view?usp=sharing",
"demo_link": "https://github.com/cocoa-ai/FacesVisionDemo",
"reference_link": "http://www.openu.ac.il/home/hassner/projects/cnn_agegender/",
"type": "image"
},
{
"name": "GenderNet",
"description": "Predict a person's gender from one's portrait.",
"download_link": "https://drive.google.com/file/d/0B1ghKa_MYL6mYkNsZHlyc2ZuaFk/view?usp=sharing",
"demo_link": "https://github.com/cocoa-ai/FacesVisionDemo",
"reference_link": "http://www.openu.ac.il/home/hassner/projects/cnn_agegender/",
"type": "image"
},
{
"name": "MNIST",
"description": "Predict handwritten (drawn) digits from images.",
"download_link": "https://github.com/ph1ps/MNIST-CoreML/raw/master/MNISTPrediction/MNIST.mlmodel",
"demo_link": "https://github.com/ph1ps/MNIST-CoreML",
"reference_link": "http://yann.lecun.com/exdb/mnist/",
"type": "image"
},
{
"name": "EmotionNet",
"description": "Predict a person's emotion from one's portrait.",
"download_link": "https://drive.google.com/file/d/0B1ghKa_MYL6mTlYtRGdXNFlpWDQ/view?usp=sharing",
"demo_link": "https://github.com/cocoa-ai/FacesVisionDemo",
"reference_link": "http://www.openu.ac.il/home/hassner/projects/cnn_emotions/",
"type": "image"
},
{
"name": "HED",
"description": "Detect nested edges from a color image.",
"download_link": "https://github.com/s1ddok/HED-CoreML/blob/master/HED-CoreML/Models/HED_so.mlmodel",
"demo_link": "https://github.com/s1ddok/HED-CoreML",
"reference_link": "http://dl.acm.org/citation.cfm?id=2654889",
"type": "image-image"
},
{
"name": "SentimentVision",
"description": "Predict positive or negative sentiments from images.",
"download_link": "https://drive.google.com/open?id=0B1ghKa_MYL6mZ0dITW5uZlgyNTg",
"demo_link": "https://github.com/cocoa-ai/SentimentVisionDemo",
"reference_link": "http://www.sciencedirect.com/science/article/pii/S0262885617300355?via%3Dihub",
"type": "image"
},
{
"name": "Food101",
"description": "Predict the type of foods from images.",
"download_link": "https://drive.google.com/open?id=0B5TjkH3njRqnVjBPZGRZbkNITjA",
"demo_link": "https://github.com/ph1ps/Food101-CoreML",
"reference_link": "http://visiir.lip6.fr/explore",
"type": "image"
},
{
"name": "Oxford102",
"description": "Detect the type of flowers from images.",
"download_link": "https://drive.google.com/file/d/0B1ghKa_MYL6meDBHT2NaZGxkNzQ/view?usp=sharing",
"demo_link": "https://github.com/cocoa-ai/FlowersVisionDemo",
"reference_link": "http://jimgoo.com/flower-power/",
"type": "image"
},
{
"name": "FlickrStyle",
"description": "Detect the artistic style of images.",
"download_link": "https://drive.google.com/file/d/0B1ghKa_MYL6meDBHT2NaZGxkNzQ/view?usp=sharing",
"demo_link": "https://github.com/cocoa-ai/StylesVisionDemo",
"reference_link": "http://sergeykarayev.com/files/1311.3715v3.pdf",
"type": "image"
},
{
"name": "RN1015k500",
"description": "Predict the location where a picture was taken.",
"download_link": "https://s3.amazonaws.com/aws-bigdata-blog/artifacts/RN1015k500/RN1015k500.mlmodel",
"demo_link": "https://github.com/awslabs/MXNet2CoreML_iOS_sample_app",
"reference_link": "https://aws.amazon.com/blogs/ai/estimating-the-location-of-images-using-mxnet-and-multimedia-commons-dataset-on-aws-ec2",
"type": "image"
},
{
"name": "Nudity",
"description": "Classifies an image either as NSFW (nude) or SFW (not nude)\n",
"download_link": "https://drive.google.com/open?id=0B5TjkH3njRqncDJpdDB1Tkl2S2s",
"demo_link": "https://github.com/ph1ps/Nudity-CoreML",
"reference_link": "https://github.com/yahoo/open_nsfw",
"type": "image"
},
{
"name": "AnimeScale2x",
"description": "Process a bicubic-scaled anime-style artwork",
"download_link": "https://github.com/imxieyi/waifu2x-ios/blob/master/waifu2x/models/anime_noise0_model.mlmodel",
"demo_link": "https://github.com/imxieyi/waifu2x-ios",
"reference_link": "https://arxiv.org/abs/1501.00092",
"type": "image-image"
},
{
"name": "Sentiment Polarity",
"description": "Predict positive or negative sentiments from sentences.",
"download_link": "https://github.com/cocoa-ai/SentimentCoreMLDemo/raw/master/SentimentPolarity/Resources/SentimentPolarity.mlmodel",
"demo_link": "https://github.com/cocoa-ai/SentimentCoreMLDemo",
"reference_link": "http://boston.lti.cs.cmu.edu/classes/95-865-K/HW/HW3/",
"type": "text"
},
{
"name": "DocumentClassification",
"description": "Classify news articles into 1 of 5 categories.",
"download_link": "https://github.com/toddkramer/DocumentClassifier/blob/master/Sources/DocumentClassification.mlmodel",
"demo_link": "https://github.com/toddkramer/DocumentClassifier",
"reference_link": "https://github.com/toddkramer/DocumentClassifier/",
"type": "text"
},
{
"name": "iMessage Spam Detection",
"description": "Detect whether a message is spam.",
"download_link": "https://github.com/gkswamy98/imessage-spam-detection/blob/master/MessageClassifier.mlmodel",
"demo_link": "https://github.com/gkswamy98/imessage-spam-detection/tree/master",
"reference_link": "http://www.dt.fee.unicamp.br/~tiago/smsspamcollection/",
"type": "text"
},
{
"name": "NamesDT",
"description": "Gender Classification using DecisionTreeClassifier",
"download_link": "https://github.com/cocoa-ai/NamesCoreMLDemo/blob/master/Names/Resources/NamesDT.mlmodel",
"demo_link": "https://github.com/cocoa-ai/NamesCoreMLDemo",
"reference_link": "http://nlpforhackers.io/",
"type": "text"
},
{
"name": "Exermote",
"description": "Predicts the exercise, when iPhone is worn on right upper arm.",
"download_link": "https://github.com/Lausbert/Exermote/tree/master/ExermoteInference",
"demo_link": "https://github.com/Lausbert/Exermote/tree/master/ExermoteInference",
"reference_link": "http://lausbert.com/2017/08/03/exermote/",
"type": "miscellaneous"
},
{
"name": "GestureAI",
"description": "Recommend an artist based on given location and genre.",
"download_link": "https://goo.gl/avdMjD",
"demo_link": "https://github.com/akimach/GestureAI-CoreML-iOS",
"reference_link": "https://github.com/akimach/GestureAI-iOS/tree/master/GestureAI",
"type": "miscellaneous"
},
{
"name": "Artists Recommendation",
"description": "Recommend an artist based on given location and genre.",
"download_link": "https://github.com/agnosticdev/Blog-Examples/blob/master/UsingCoreMLtoCreateASongRecommendationEngine/Artist.mlmodel",
"demo_link": "",
"reference_link": "https://www.agnosticdev.com/blog-entry/python/using-scikit-learn-and-coreml-create-music-recommendation-engine",
"type": "miscellaneous"
},
{
"name": "Personality Detection",
"description": "Predict personality based on user documents (sentences).",
"download_link": "https://github.com/novinfard/profiler-sentiment-analysis/tree/master/ios_app/ProfilerSA/ML%20Models",
"demo_link": "https://github.com/novinfard/profiler-sentiment-analysis/",
"reference_link": "https://github.com/novinfard/profiler-sentiment-analysis/blob/master/dissertation-v6.pdf",
"type": "text"
},
{
"name": "BERT for Question answering",
"description": "Swift Core ML 3 implementation of BERT for Question answering",
"download_link": "https://github.com/huggingface/swift-coreml-transformers/blob/master/Resources/BERTSQUADFP16.mlmodel",
"demo_link": "https://github.com/huggingface/swift-coreml-transformers#-bert",
"reference_link": "https://github.com/huggingface/pytorch-transformers#run_squadpy-fine-tuning-on-squad-for-question-answering",
"type": "text"
},
{
"name": "GPT-2",
"description": "OpenAI GPT-2 Text generation (Core ML 3)",
"download_link": "https://github.com/huggingface/swift-coreml-transformers/blob/master/Resources/gpt2-512.mlmodel",
"demo_link": "https://github.com/huggingface/swift-coreml-transformers#-gpt-2",
"reference_link": "https://github.com/huggingface/pytorch-transformers",
"type": "text"
},
{
"name": "TextRecognition (ML Kit)",
"description": "Recognizing text using ML Kit built-in model in real-time.",
"download_link": "",
"demo_link": "https://github.com/tucan9389/TextRecognition-MLKit",
"reference_link": "https://firebase.google.com/docs/ml-kit/ios/recognize-text",
"type": "image"
},
{
"name": "ESC-10",
"description": "Recognize sounds from the ESC-10 sound dataset.",
"download_link": "https://github.com/narner/ESC10-CoreML/blob/master/CreateML%20Project%20And%20Dataset/ESC-10%20Sound%20Classifier.mlproj/Models/ESC-10%20Sound%20Classifier.mlmodel",
"demo_link": "https://github.com/narner/ESC10-CoreML/tree/master/ECS10-CoreML-Demo",
"reference_link": "https://nicholas-arner.squarespace.com/blog/2019/10/29/classification-of-sound-files-on-ios-with-the-soundanalysis-framework",
"type": "miscellaneous"
},
{
"name": "ImageSegmentation",
"description": "Segment the pixels of a camera frame or image into a predefined set of classes.",
"download_link": "https://developer.apple.com/machine-learning/models/",
"demo_link": "https://github.com/tucan9389/ImageSegmentation-CoreML",
"reference_link": "https://github.com/tensorflow/models/tree/master/research/deeplab",
"type": "image"
},
{
"name": "DepthPrediction",
"description": "Predict the depth from a single image.",
"download_link": "https://developer.apple.com/machine-learning/models/",
"demo_link": "https://github.com/tucan9389/DepthPrediction-CoreML",
"reference_link": "https://github.com/iro-cp/FCRN-DepthPrediction",
"type": "image"
},
{
"name": "ChordSuggester",
"description": "Predicts the most likely next chord based on the entered Chord Progression.",
"download_link": "https://github.com/carlosmbe/Mac-CoreML-Chord-Suggester/blob/main/MLChordSuggester.mlpackage.zip",
"demo_link": "https://github.com/carlosmbe/Mac-CoreML-Chord-Suggester",
"reference_link": "https://medium.com/@huanlui/chordsuggester-i-3a1261d4ea9e",
"type": "miscellaneous"
}
]
}