Note

This is a Hugging Face dataset. Learn how to load datasets from the Hub in the Hugging Face integration docs.

Hugging Face

Dataset Card for usps#

image/png

This is a FiftyOne dataset with 9298 samples.

Installation#

If you haven’t already, install FiftyOne:

pip install -U fiftyone

Usage#

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#

Dataset Sources [optional]#

Dataset Structure#

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

Citation#

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.

Dataset Card Authors#

Rohith Raj Srinivasan