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Scene Text Recognition datasets

archive 2025-07-28

29 datasets carry the task tag "Scene Text Recognition" (the task itself: Scene Text Recognition), ordered by the archive's paper count. Page 1 of 1: 29 shown of 29. 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 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Scene Text Recognition datasets 1–29 of 29

The ICDAR 2013 dataset consists of 229 training images and 233 testing images, with word-level annotations provided.
246 papers · 3 benchmarks
The COCO-Text dataset is a dataset for text detection and recognition.
89 papers · 2 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
SVT (Street View Text Dataset)
The Street View Text (SVT) dataset was harvested from Google Street View.
35 papers · 1 benchmark
RCTW-17 (Reading Chinese Text in the Wild)
Features a large-scale dataset with 12,263 annotated images.
20 papers · 0 benchmarks
The heavily occluded scene text (HOST) dataset is a dataset that contains images of text with occlusions.
18 papers · 1 benchmark
The CUTE80 dataset is a lightweight collection of images specifically designed for text detection in natural scene images.
17 papers · 1 benchmark
The Weakly Occluded Scene Text (WOST) dataset is a public dataset for scene text segmentation.
17 papers · 1 benchmark
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
The IIIT5K dataset contains 5,000 text instance images: 2,000 for training and 3,000 for testing.
14 papers · 1 benchmark
SVTP dataset stands for Scene Text Recognition Datasets.
14 papers · 1 benchmark
GSL (Greek Sign Language)
Dataset Description The Greek Sign Language (GSL) is a large-scale RGB+D dataset, suitable for Sign Language Recognition (SLR) and Sign Language Translation (SLT).
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
IIIT-ILST is a dataset and benchmark for scene text recognition for three Indic scripts - Devanagari, Telugu and Malayalam.
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
The ChineseLP dataset contains 411 vehicle images (mostly of passenger cars) with Chinese license plates (LPs).
4 papers · 1 benchmark
Vehicle-Rear is a novel dataset for vehicle identification that contains more than three hours of high-resolution videos, with accurate information about the make, model, color and year of nearly 3,000 vehicles, in addition to the position…
3 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
MTST (Mobile Turkish Scene Text)
The Mobile Turkish Scene Text (MTST 200) dataset consists of 200 indoor and outdoor Turkish scene text images.
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
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
The IC13 dataset contains 561 images: 420 for training and 141 for testing.
1 paper · 1 benchmark
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
This repository contains datasets and baselines for benchmarking Chinese text recognition.
0 papers · 0 benchmarks
This dataset contains images and annotations for scene text detection and recognition.
0 papers · 0 benchmarks
TS-TR (Turkish Scene Text Recognition Dataset)
The Turkish Scene Text Recognition (TS-TR) dataset was primarily developed to fill the gap in non-English text recognition resources, specifically addressing the unique challenges presented by the Turkish language, such as special…
0 papers · 0 benchmarks

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.