# MLHandPoseClassifier.DataSource A hand pose classifier dataset that contains annotated images or hand joint location data. ``` enum DataSource ``` ## Topics ### Creating a data source [`case labeledDirectories(at: URL)`](/documentation/CreateML/MLHandPoseClassifier/DataSource/labeledDirectories(at:)) Creates a data source from a folder with subfolders that each contain images of a hand pose. [`case labeledFiles(at: URL)`](/documentation/CreateML/MLHandPoseClassifier/DataSource/labeledFiles(at:)) Creates a data source from a folder that contains images, each named after the hand pose it represents. [`case directoryWithImagesAndAnnotation(at: URL, annotationFile: URL, imageColumn: String, labelColumn: String)`](/documentation/CreateML/MLHandPoseClassifier/DataSource/directoryWithImagesAndAnnotation(at:annotationFile:imageColumn:labelColumn:)) Creates a data source from a folder that contains images and an annotation file. [`case labeledImageDataFrame(DataFrame, imageColumn: String, labelColumn: String)`](/documentation/CreateML/MLHandPoseClassifier/DataSource/labeledImageDataFrame(_:imageColumn:labelColumn:)) Creates a data source from a data frame that contains the location and annotation for a set of image files. [`case labeledKeypointsDataFrame(DataFrame, sessionIdColumn: String, labelColumn: String, featureColumn: String)`](/documentation/CreateML/MLHandPoseClassifier/DataSource/labeledKeypointsDataFrame(_:sessionIdColumn:labelColumn:featureColumn:)) Creates a data source from a data frame of hand pose observations that each contain the locations of each hand joint and an annotation. [`case labeledImageData(table: MLDataTable, imageColumn: String, labelColumn: String)`](/documentation/CreateML/MLHandPoseClassifier/DataSource/labeledImageData(table:imageColumn:labelColumn:)) Creates a data source from a data table that contains the hand joint locations and annotation for a set of image files. [`case labeledKeypointsData(table: MLDataTable, sessionIdColumn: String, labelColumn: String, featureColumn: String)`](/documentation/CreateML/MLHandPoseClassifier/DataSource/labeledKeypointsData(table:sessionIdColumn:labelColumn:featureColumn:)) Creates a data source from a data table of hand pose observations that each contain the locations of each hand joint and an annotation. ### Extracting keypoints [`func extractKeypoints() throws -> DataFrame`](/documentation/CreateML/MLHandPoseClassifier/DataSource/extractKeypoints()) Extracts key points from video files if necessary. ### Getting annotated file names [`func gatherAnnotatedFileNames() throws -> DataFrame?`](/documentation/CreateML/MLHandPoseClassifier/DataSource/gatherAnnotatedFileNames()) Processes the data source and returns a data frame that contains file URLs and annotations. ### Exporting a data source [`func labeledMedia() throws -> [String : [URL]]`](/documentation/CreateML/MLHandPoseClassifier/DataSource/labeledMedia()) Generates a dictionary that contains the data source’s classification labels paired with an array of URLs to the label’s image files. [`func imagesWithAnnotations() throws -> MLDataTable`](/documentation/CreateML/MLHandPoseClassifier/DataSource/imagesWithAnnotations()) Generates a data table that contains a column for the data source’s image file URLs and a column of annotations. [`func keypointsWithAnnotations() throws -> MLDataTable`](/documentation/CreateML/MLHandPoseClassifier/DataSource/keypointsWithAnnotations()) Generates a data table that contains a column for hand joint locations and hand pose annotations. [`func stratifiedSplit(proportions: [Double], seed: Int, labelColumn: String) throws -> MLDataTable`](/documentation/CreateML/MLHandPoseClassifier/DataSource/stratifiedSplit(proportions:seed:labelColumn:)) Generates a data table by splitting the data source into strata. --- Copyright © 2026 Apple Inc. All rights reserved. | [Terms of Use](https://www.apple.com/legal/internet-services/terms/site.html) | [Privacy Policy](https://www.apple.com/privacy/privacy-policy)