content.json

{
      "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"
            }
      ]
}