A meticulously curated dataset designed to evaluate and benchmark table detection models across diverse languages and document types
MTD-360 is a meticulously curated dataset designed to evaluate and benchmark table detection models across diverse languages and document types. It comprises 360 images spanning 14 languages. The dataset encompasses a wide range of document formats, such as textbooks, dictionaries, bank reports, bills, and multi-column layouts, capturing varied table structures commonly found in real-world scenarios. Serving as both a test set and a benchmark.
CC0 1.0 Public Domain
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