{ "data_id": "45082", "name": "SignMNIST", "exact_name": "SignMNIST", "version": 1, "version_label": "v1", "description": "The original MNIST image dataset of handwritten digits is a popular benchmark for image-based machine learning methods but researchers have renewed efforts to update it and develop drop-in replacements that are more challenging for computer vision and original for real-world applications.\nThe dataset format is patterned to match closely with the classic MNIST. Each training and test case represents a label (0-25) as a one-to-one map for each alphabetic letter A-Z (and no cases for 9=J or 25=Z because of gesture motions). The training data (27,455 cases) and test data (7172 cases) are approximately half the size of the standard MNIST but otherwise similar with a header row of label, pixel1, pixel2 ... pixel784 which represent a single 28x28 pixel image with grayscale values between 0-255.\nThe train and test data have been concatenated and can be retrieved by selecting the first 27,455 rows for train and the last 7172 for test.", "format": "arff", "uploader": "Andrei Simion-Constantinescu", "uploader_id": 33923, "visibility": "public", "creator": "Kaggle", "contributor": null, "date": "2023-02-09 10:28:40", "update_comment": null, "last_update": "2023-02-09 10:28:40", "licence": "None", "status": "active", "error_message": null, "url": "https:\/\/api.openml.org\/data\/download\/22112117\/dataset", "default_target_attribute": "label", "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "SignMNIST", "The original MNIST image dataset of handwritten digits is a popular benchmark for image-based machine learning methods but researchers have renewed efforts to update it and develop drop-in replacements that are more challenging for computer vision and original for real-world applications. The dataset format is patterned to match closely with the classic MNIST. Each training and test case represents a label (0-25) as a one-to-one map for each alphabetic letter A-Z (and no cases for 9=J or 25=Z be " ], "weight": 5 }, "qualities": { "NumberOfInstances": 34627, "NumberOfFeatures": 785, "NumberOfClasses": 0, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 785, "NumberOfSymbolicFeatures": 0, "PercentageOfInstancesWithMissingValues": 0, "AutoCorrelation": -7.476145093282504, "PercentageOfMissingValues": 0, "Dimensionality": 0.022670170676062033, "PercentageOfNumericFeatures": 100, "MajorityClassPercentage": null, "PercentageOfSymbolicFeatures": 0, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 0, "PercentageOfBinaryFeatures": 0 }, "tags": [ { "uploader": "38960", "tag": "Health" }, { "uploader": "38960", "tag": "Statistics" } ], "features": [ { "name": "label", "index": "0", "type": "numeric", "distinct": "24", "missing": "0", "target": 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