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Optical Character Recognition (OCR) datasets
archive 2025-07-2855 datasets carry the task tag "Optical Character Recognition (OCR)" (the task itself: Optical Character Recognition (OCR)), ordered by the archive's paper count. Page 1 of 2: 48 shown of 55. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 50 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
All 12,172
Question Answering 413Semantic Segmentation 347Object Detection 332Image Classification 283Classification 222Text Classification 167Language Modelling 166Text Generation 162Visual Question Answering (VQA) 144Named Entity Recognition (NER) 130Pose Estimation 124Anomaly Detection 119Action Recognition 115Instance Segmentation 111Sentiment Analysis 104Text Summarization 98Domain Adaptation 96Speech Recognition 96Reading Comprehension 95Information Retrieval 932D Object Detection 92Image Retrieval 87Machine Translation 82Relation Extraction 822D Semantic Segmentation 81Natural Language Inference 81Image Captioning 79Image Generation 79Depth Estimation 77Node Classification 75Natural Language Understanding 72Autonomous Driving 70Code Generation 70Object Tracking 693D Object Detection 67Face Recognition 67Link Prediction 67Person Re-Identification 65Data Augmentation 63Multi-Task Learning 593D Reconstruction 58Common Sense Reasoning 56Recommendation Systems 56Video Understanding 56Optical Character Recognition (OCR) 55Graph Classification 54Abstractive Text Summarization 52Emotion Recognition 52Medical Image Segmentation 52Word Embeddings 52
Optical Character Recognition (OCR) datasets 1–48 of 55
IAM (IAM Handwriting)
The IAM database contains 13,353 images of handwritten lines of text created by 657 writers.
198 papers · 1 benchmark
FUNSD (Form Understanding in Noisy Scanned Documents)
Form Understanding in Noisy Scanned Documents (FUNSD) comprises 199 real, fully annotated, scanned forms.
179 papers · 3 benchmarks
Contains 145k captions for 28k images.
98 papers · 1 benchmark
ST-VQA (Scene Text Visual Question Answering)
ST-VQA aims to highlight the importance of exploiting high-level semantic information present in images as textual cues in the VQA process.
90 papers · 0 benchmarks
The ICDAR2003 dataset is a dataset for scene text recognition.
53 papers · 1 benchmark
TextOCR is a dataset to benchmark text recognition on arbitrary shaped scene-text.
37 papers · 0 benchmarks
SciTSR is a large-scale table structure recognition dataset, which contains 15,000 tables in PDF format and their corresponding structure labels obtained from LaTeX source files.
36 papers · 0 benchmarks
A benchmark dataset that contains 500K document pages with fine-grained token-level annotations for document layout analysis.
34 papers · 0 benchmarks
Description: 105,941 Images Natural Scenes OCR Data of 12 Languages.
24 papers · 0 benchmarks
This dataset includes 4,500 fully annotated images (over 30,000 license plate characters) from 150 vehicles in real-world scenarios where both the vehicle and the camera (inside another vehicle) are moving.
15 papers · 1 benchmark
A prebuilt dataset for OpenAI's task for image-2-latex system.
12 papers · 1 benchmark
MRR-Benchmark (Multi-Modal Reading Benchmark)
Multi-Modal Reading (MMR) Benchmark includes 550 annotated question-answer pairs across 11 distinct tasks involving texts, fonts, visual elements, bounding boxes, spatial relations, and grounding, with carefully designed evaluation metrics.
11 papers · 1 benchmark
This dataset, called RodoSol-ALPR dataset, contains 20,000 images captured by static cameras located at pay tolls owned by the Rodovia do Sol (RodoSol) concessionaire, which operates 67.5 kilometers of a highway (ES-060) in the Brazilian…
8 papers · 0 benchmarks
This dataset aims at evaluating the License Plate Character Segmentation (LPCS) problem.
8 papers · 1 benchmark
The Kannada-MNIST dataset is a drop-in substitute for the standard MNIST dataset for the Kannada language.
7 papers · 0 benchmarks
IIIT-AR-13K is created by manually annotating the bounding boxes of graphical or page objects in publicly available annual reports.
6 papers · 0 benchmarks
Contains video clips shot with modern high-resolution mobile cameras, with strong projective distortions and with low lighting conditions.
6 papers · 0 benchmarks
MLe2 is a dataset for the evaluation of scene text end-to-end reading systems and all intermediate stages such as text detection, script identification and text recognition.
6 papers · 0 benchmarks
Chinese Text in the Wild is a dataset of Chinese text with about 1 million Chinese characters from 3850 unique ones annotated by experts in over 30000 street view images.
5 papers · 0 benchmarks
We collect, organize and open-source the large-scale multimodal instruction dataset, Infinity-MM, consisting of tens of millions of samples.
5 papers · 0 benchmarks
Twitter100k is a large-scale dataset for weakly supervised cross-media retrieval.
5 papers · 0 benchmarks
The ChineseLP dataset contains 411 vehicle images (mostly of passenger cars) with Chinese license plates (LPs).
4 papers · 1 benchmark
DDI-100 (Distorted Document Images)
The DDI-100 dataset is a synthetic dataset for text detection and recognition based on 7000 real unique document pages and consists of more than 100000 augmented images.
4 papers · 0 benchmarks
This dataset contains Bangla handwritten numerals, basic characters and compound characters.
3 papers · 2 benchmarks
3 papers · 1 benchmark
dataset link : https://www.kaggle.com/datasets/osamahosamabdellatif/high-quality-invoice-images-for-ocr Overview High-Quality Invoice Images for OCR is a curated dataset containing professionally scanned and digitally captured invoice…
3 papers · 0 benchmarks
Imgur5k is a large-scale handwritten in-the-wild dataset, containing challenging real world handwritten samples from nearly 5K writers.
3 papers · 0 benchmarks
The largest dataset of extracted visual content from historic newspapers ever produced.
3 papers · 0 benchmarks
MCSCSet is a large-scale specialist-annotated dataset, designed for the task of Medical-domain Chinese Spelling Correction that contains about 200k samples.
2 papers · 0 benchmarks
MSDA (Multi-source domain adaptation dataset for text recognition)
5 domains: synthetic domain, document domain, street view domain, handwritten domain, and car license domain over five million images
2 papers · 2 benchmarks
A large scale OCSR dataset, proposed in paper “MolParser: End-to-end Visual Recognition of Molecule Structures in the Wild“ MolParser-7M contains nearly 8 million paired image-SMILES data.
2 papers · 0 benchmarks
This dataset contains 2,000 images taken from inside a warehouse of the Energy Company of Paraná (Copel), which directly serves more than 4 million consuming units in the Brazilian state of Paraná.
2 papers · 1 benchmark
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
1 paper · 0 benchmarks
Data collection: Finding a suitable source of data is considered a first step toward building a database.
1 paper · 1 benchmark
BLN600 (BLN600: A Parallel Corpus of Machine/Human Transcribed Nineteenth Century Newspaper Texts)
A publicly available corpus of nineteenth-century newspaper text focused on crime in London, derived from the Gale British Library Newspapers corpus parts 1 and 2.
1 paper · 0 benchmarks
This dataset contains 12,500 meter images acquired in the field by the employees of the Energy Company of Paraná (Copel), which directly serves more than 4 million consuming units, across 395 cities and 1,113 locations (i.e., districts,…
1 paper · 1 benchmark
Doc3DShade extends Doc3D with realistic lighting and shading.
1 paper · 0 benchmarks
Optical images of printed circuit boards as well as detailed annotations of any text, logos, and surface-mount devices (SMDs).
1 paper · 0 benchmarks
1 paper · 1 benchmark
IllusionChartest Dataset Characteristics IllusionChartest is a generated dataset containing 3,300 samples of images that feature sequences of 3 to 5 random characters.
1 paper · 0 benchmarks
It is composed of around 770k of color 256x256 RGB images extracted from the European Union Intellectual Property Office (EUIPO) open registry.
1 paper · 1 benchmark
MatriVasha: (MatriVasha: Compound Character atasetD)
MatriVasha the largest dataset of handwritten Bangla compound characters for research on handwritten Bangla compound character recognition.
1 paper · 0 benchmarks
NCSE v2.0 (NCSE v2.0: A Dataset of OCR-Processed 19th Century English Newspapers)
The NCSE v2.0 is a digitized collection of six 19th-century English periodicals The ground truth contains 358 cropped images of text blocks from 31 pages of 19th century newspaper data
1 paper · 0 benchmarks
PsOCR (Pashto OCR Dataset)
PsOCR is a large-scale synthetic dataset for Optical Character Recognition in low-resource Pashto language.
1 paper · 0 benchmarks
SUT (SUT: a new multi-purpose synthetic dataset for Farsi document image analysis)
This paper introduces a new large-scale dataset for Farsi document images, named SUT, which aims to tackle the challenges associated with obtaining diverse and substantial ground-truth data for supervised models in document image analysis…
1 paper · 2 benchmarks
The UTRSet-Real dataset is a comprehensive, manually annotated dataset specifically curated for Printed Urdu OCR research.
1 paper · 0 benchmarks
The UTRSet-Synth dataset is introduced as a complementary training resource to the UTRSet-Real Dataset, specifically designed to enhance the effectiveness of Urdu OCR models.
1 paper · 0 benchmarks
Dataset Introduction This dataset leverages VideoDB's Public Collection to offer a diverse range of videos featuring text-containing scenes.
1 paper · 1 benchmark
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.