--- task_categories: - image-classification --- # AutoTrain Dataset for project: mnist-analysis ## Dataset Description This dataset has been automatically processed by AutoTrain for project mnist-analysis. ### Languages The BCP-47 code for the dataset's language is unk. ## Dataset Structure ### Data Instances A sample from this dataset looks as follows: ```json [ { "image": "<28x28 L PIL image>", "target": 1 }, { "image": "<28x28 L PIL image>", "target": 0 } ] ``` ### Dataset Fields The dataset has the following fields (also called "features"): ```json { "image": "Image(decode=True, id=None)", "target": "ClassLabel(names=['0', '1', '2', '3', '4', '5', '6', '7', '8', '9'], id=None)" } ``` ### Dataset Splits This dataset is split into a train and validation split. The split sizes are as follow: | Split name | Num samples | | ------------ | ------------------- | | train | 55996 | | valid | 14004 |