Datasets:

Voxel51
/

USPS

	---
	annotations_creators: []
	language: en
	license: unknown
	size_categories:
	- 1K<n<10K
	task_categories:
	- image-classification
	task_ids: []
	pretty_name: usps
	tags:
	- fiftyone
	- image
	- image-classification
	exists_ok: true
	dataset_summary: '



	![image/png](dataset_preview.jpg)



	This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 9298 samples.


	## Installation


	If you haven''t already, install FiftyOne:


	```bash

	pip install -U fiftyone

	```


	## Usage


	```python

	import fiftyone as fo

	import fiftyone.utils.huggingface as fouh


	# Load the dataset

	# Note: other available arguments include ''max_samples'', etc

	dataset = fouh.load_from_hub("Voxel51/USPS")


	# Launch the App

	session = fo.launch_app(dataset)

	```

	'
	---

	# Dataset Card for usps

	<!-- Provide a quick summary of the dataset. -->




	![image/png](dataset_preview.jpg)


	This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 9298 samples.

	## Installation

	If you haven't already, install FiftyOne:

	```bash
	pip install -U fiftyone
	```

	## Usage

	```python
	import fiftyone as fo
	import fiftyone.utils.huggingface as fouh

	# Load the dataset
	# Note: other available arguments include 'max_samples', etc
	dataset = fouh.load_from_hub("Voxel51/USPS")

	# Launch the App
	session = fo.launch_app(dataset)
	```


	## Dataset Details

	### Dataset Description

	<!-- Provide a longer summary of what this dataset is. -->

	- Curated by: Introduced by Jonathan J. Hull in [A Database for Handwritten Text Recognition Research](https://ieeexplore.ieee.org/document/291440) and available at [https://paperswithcode.com/dataset/usps](https://paperswithcode.com/dataset/usps).
	- Language(s) (NLP): en
	- License: unknown

	### Dataset Sources [optional]

	<!-- Provide the basic links for the dataset. -->

	- Repository: https://paperswithcode.com/dataset/usps
	- Paper: [A Database for Handwritten Text Recognition Research](https://ieeexplore.ieee.org/document/291440)

	## Dataset Structure

	<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->

	```
	Name: usps
	Media type: image
	Num samples: 9298
	Persistent: False
	Tags: []
	Sample fields:
	id: fiftyone.core.fields.ObjectIdField
	filepath: fiftyone.core.fields.StringField
	tags: fiftyone.core.fields.ListField(fiftyone.core.fields.StringField)
	metadata: fiftyone.core.fields.EmbeddedDocumentField(fiftyone.core.metadata.ImageMetadata)
	ground_truth: fiftyone.core.fields.EmbeddedDocumentField(fiftyone.core.labels.Classification)
	```

	The dataset has 2 splits: "train" and "test". Samples are tagged with their split.

	## Dataset Creation

	Introduced by Jonathan J. Hull in [A Database for Handwritten Text Recognition Research](https://ieeexplore.ieee.org/document/291440)

	## Citation

	<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

	BibTeX:
	```
	@ARTICLE{291440,
	author={Hull, J.J.},
	journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
	title={A database for handwritten text recognition research},
	year={1994},
	volume={16},
	number={5},
	pages={550-554},
	keywords={Text recognition;Image databases;Testing;Cities and towns;Handwriting recognition;Gray-scale;Performance analysis;Writing;Digital images;Postal services},
	doi={10.1109/34.291440}}
	```

	## More Information

	Dataset conversion and data card contributed by [Rohith Raj Srinivasan](https://huggingface.co/rohis).

	## Dataset Card Authors

	[Rohith Raj Srinivasan](https://huggingface.co/rohis)