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.FEJB1JQF4PMVUJPOTͱ.-,JUͷҧ͍ 7

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ରԠϓϥοτϑΥʔϜ 8 MediaPipe Solutions ML Kit w "OESPJE w J04 w 8FC w 1ZUIPO w "OESPJE w J04

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ػೳ 9 Media Pipe Solutions ML Kit

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ػೳ 10 MediaPipe Solutions ML Kit

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Ϟσϧબ୒ͷ༗ແ 11 MediaPipe Solutions ML Kit w ར༻͢ΔϞσϧΛࣗ෼ͰબͿ w ਪ঑Ϟσϧ͕༻ҙ͞Ε͍ͯΔ w CVJMEJOͷϞσϧ͕࢖ΘΕΔ w Ұ෦ͷػೳͰ͸ΧελϜϞσϧͷར ༻͕Մೳ

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Ϟσϧͷ഑෍ 12 MediaPipe Solutions ML Kit w ϞσϧΛΞϓϦ಺ʹ഑ஔ w CVJMEJOϞσϧ w ϥΠϒϥϦͱҰॹʹϞσϧΛΞϓϦʹCVOEMF w (PPHMFQMBZTFSWJDFTͰμ΢ϯϩʔυ w ΧελϜϞσϧʢରԠ͍ͯ͠ΔػೳͷΈʣ w ϞσϧΛΞϓϦ಺ʹ഑ஔ w 'JSFCBTF.-ʹϞσϧΛϗετ w (PPHMFQMBZTFSWJDFTͰμ΢ϯϩʔυ w fi SFCBTFNMNPEFMEPXOMPBEFSͰμ΢ϯϩʔυ

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13 https://ai.google.dev/edge/mediapipe/solutions/vision/image_classi fi er#models MediaPipe Solutions

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14 val baseOptions = BaseOptions.builder() .setModelAssetPath("efficientnet_lite0.tflite") .build() val options = ImageClassifier.ImageClassifierOptions .builder() .setBaseOptions(baseOptions) … .build() imageClassifier = ImageClassifier.createFromOptions(context, options) MediaPipe Solutions αϯϓϧίʔυ https://github.com/google-ai-edge/mediapipe-samples AGP, Gradle ͕ݹ͍ͷͰ஫ҙ implementation("com.google.mediapipe:tasks-vision:0.20230731")

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15 ML Kit val options = ImageLabelerOptions.Builder() .setConfidenceThreshold(0.6f) .build() labeler = ImageLabeling.getClient(options) // bundled : About 5.7 MB size increase. implementation("com.google.mlkit:image-labeling:17.0.9") or // unbundled : About 200 KB size increase. // Model is dynamically downloaded via Google Play Services. implementation("com.google.android.gms:play-services-mlkit-image-labeling:16.0.8")

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Ϟσϧͷҧ͍ 16 MediaPipe Solutions Image classi fi cation ML Kit Image Labeling w & ffi DJFOU/FU-JUF w *NBHF/FUͰֶशͨ͠छྨͷ Ϋϥε w IUUQTTUPSBHFHPPHMFBQJTDPN NFEJBQJQFUBTLTJNBHF@DMBTTJ fi FS MBCFMTUYU w छྨͷϥϕϧ w IUUQTEFWFMPQFSTHPPHMFDPN NMLJUWJTJPOJNBHFMBCFMJOH MBCFMNBQ

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17 cup : 0.41 Cup : 0.98 Tableware : 0.95 Porcelain : 0.88

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ઃఆͰ͖Δ߲໨ͷҧ͍ 18 MediaPipe Solutions Image classi fi cation ML Kit Image Labeling ImageClassifier.ImageClassifierOptions .builder() .setScoreThreshold(0.3f) .setMaxResults(3) .setRunningMode(RunningMode.LIVE_STREAM) .setDisplayNamesLocale("ja") .setCategoryAllowlist(…) or .setCategoryDenylist(…) ImageLabelerOptions.Builder() .setConfidenceThreshold(0.3f)

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ΧελϜϞσϧ 19

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20 https://www.kaggle.com/models/google/aiy/tfLite/vision-classi fi er-birds-v1/3

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22 MediaPipe Solutions val baseOptions = BaseOptions.builder() .setModelAssetPath("vision_classifier_birds_v3.tflite") .build() val options = ImageClassifier.ImageClassifierOptions .builder() .setBaseOptions(baseOptions) … .build() imageClassifier = ImageClassifier.createFromOptions(context, options)

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23 ML Kit https://developers.google.com/ml-kit/custom-models#model-compatibility

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24 ML Kit https://developers.google.com/ml-kit/custom-models#model-compatibility

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25 ML Kit (Bundled) val localModel = LocalModel.Builder() .setAssetFilePath("vision_classifier_birds_v3.tflite") // or .setAbsoluteFilePath(absolute file path to model file) // or .setUri(URI to model file) .build() val options = CustomImageLabelerOptions.Builder(localModel) .setConfidenceThreshold(0.3f) .setMaxResultCount(5) .build() labeler = ImageLabeling.getClient(options) implementation("com.google.mlkit:image-labeling-custom:17.0.3")

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26 ML Kit (Bundled) val localModel = LocalModel.Builder() .setAssetFilePath("vision_classifier_birds_v3.tflite") // or .setAbsoluteFilePath(absolute file path to model file) // or .setUri(URI to model file) .build() val options = CustomImageLabelerOptions.Builder(localModel) .setConfidenceThreshold(0.3f) .setMaxResultCount(5) .build() labeler = ImageLabeling.getClient(options) 26 implementation("com.google.mlkit:image-labeling-custom:17.0.3")

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27 build-in model vision_classi fi er_birds_v3.t fl ite

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32 ML Kit (Unbundled : Google Play Services Ͱμ΢ϯϩʔυ) val remoteModel = CustomRemoteModel .Builder(FirebaseModelSource.Builder("vision_classifier_food").build()) .build() val downloadConditions = DownloadConditions.Builder().requireWifi().build() RemoteModelManager.getInstance() .download(remoteModel, downloadConditions) .addOnSuccessListener { val options = CustomImageLabelerOptions.Builder(remoteModel) .setConfidenceThreshold(0.1f) .setMaxResultCount(5) .build() labeler = ImageLabeling.getClient(options) } implementation("com.google.android.gms:play-services-mlkit-image-labeling-custom:16.0.0-beta5") implementation("com.google.mlkit:linkfirebase:17.0.0")

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33 ML Kit (Unbundled : fi rebase-ml-modeldownloader Ͱμ΢ϯϩʔυ) val conditions = CustomModelDownloadConditions.Builder().requireWifi().build() FirebaseModelDownloader.getInstance() .getModel("vision_classifier_food", DownloadType.LOCAL_MODEL, conditions) .addOnSuccessListener { model -> model?.file?.let { val localModel = LocalModel.Builder() .setAbsoluteFilePath(it.absolutePath) .build() val customImageLabelerOptions = CustomImageLabelerOptions.Builder(localModel) .setConfidenceThreshold(0.1f) .setMaxResultCount(5) .build() labeler = ImageLabeling.getClient(customImageLabelerOptions) } } implementation("com.google.firebase:firebase-ml-modeldownloader:25.0.1")

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37 https://ai.google.dev/edge/mediapipe/solutions/customization/image_classi fi er

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38 w *NBHF$MBTTJ fi DBUJPOͷΧελϜϞσϧ w छྨຕͩͱ͜ͷఔ౓ͷਫ਼౓ɺ࠷௿ ຕ͸ཉ͍͠ w Yʢ΋ͬͱখ͍͍ͯ͘͞ʣͷ ຕYຕͰֶश࣌ؒ͸໿෼

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