Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
License:
File size: 3,799 Bytes
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---
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: '
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. -->
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) |