Datasets:

darjja
/

nameplate_sample2

license: mit
task_categories:
  - image-to-text
pretty_name: Nameplates OCR
tags:
  - ocr
  - nameplates
  - image-to-text
dataset_info:
  features:
    - name: image
      dtype: image
    - name: text
      dtype: string
  splits:
    - name: train
      num_bytes: 7272
      num_examples: 24
    - name: test
      num_bytes: 7272
      num_examples: 6
  download_size: 0
  dataset_size: 14544
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*

Nameplates OCR

Image-to-text dataset of nameplates, merged from local folders and/or Hugging Face datasets and built with create_dataset.py. Text-less images were auto-captioned with EasyOCR; sources with a text/metadata column use that text (flattened to plain-text lines for consistency).

Dataset structure

Split	Images
train	24
test	6

Each row: {"image": <PIL.Image>, "text": "..."}.

Usage

from datasets import load_dataset

dataset = load_dataset("darjja/nameplate_sample2")
print(dataset["train"][0])