Dataset · Hugging Face

zentardev/handwritten-digit-dataset

Name: handwritten-digit-dataset
Creator: zentardev
License: mit
Keywords: task_categories:image-classification, license:mit, size_categories:n<1K, format:csv, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, handwriting, mnist-style, crowdsourced

Handwritten Digit Dataset This dataset contains a collection of handwritten digits (0-9) contributed by users through an interactive web-based drawing application. The dataset is continuously updated, reflecting real-world human handwriting variability. Dataset Details The images are pre-processed to match the standard machine learning format for digit recognition: Dimensions: 28x28 pixels. Format: Grayscale (single channel). Processing: Each digit is cropped to… See the full description on the dataset page: https://huggingface.co/datasets/zentardev/handwritten-digit-dataset.

View on Hugging FaceReport an issue

Author / organization	zentardev
License (as declared)	mit
Downloads	360 (as reported by Hugging Face)
Likes	0
Created	15 June 2026
Last updated at source	12 October 2026

handwritingmnist-stylecrowdsourced

Embed this entry

<iframe src="https://silytics.si/embed/item/f9963750-e282-4b08-a335-14796efd63a2" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

360 now (-30 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.