Arabic Food Menu and Handwritten OCR Image Dataset
An Arabic OCR image dataset for real-world food menu and printed document images, built with JSON annotations containing bounding boxes and language metadata.
Flitto Data Marketplace offers license-verified AI training and evaluation datasets in text, speech, image, and video across 100+ languages and 23+ domains. Try a free sample, then contact us to purchase.
An Arabic OCR image dataset for real-world food menu and printed document images, built with JSON annotations containing bounding boxes and language metadata.
An Arabic OCR image dataset for real-world magazine cover images in the media and entertainment domain, built with JSON annotations containing bounding-box coordinates.
An Arabic OCR image dataset for real-world posters and flyers in the media and retail domains, built with JSON annotations containing bounding boxes and language metadata.
An Arabic OCR image dataset for real-world back-side product packaging images in the retail and food domains, built with JSON annotations containing bounding-box coordinates.
An Arabic OCR image dataset for real-world front-side product packaging images in the retail and food domains, built with JSON annotations containing bounding-box coordinates.
An Arabic OCR image dataset for real-world vowelized text images in education and general domains, built with JSON annotations containing bounding boxes and language metadata.
A Ukrainian printed text OCR image dataset built from real-world images with JSON annotations containing bounding boxes, language metadata, and reading direction information.
A Ukrainian handwritten text OCR image dataset built from real-world images with JSON annotations containing bounding boxes, language metadata, and reading direction information.
A Japanese handwritten text OCR image dataset built from real-world images with JSON annotations containing bounding boxes, language metadata, and reading direction information.
A Thai printed text OCR image dataset built from real-world images with JSON annotations containing bounding boxes, language metadata, and reading direction information.