tuandunghcmut/M6Doc
M6Doc — Test Set ⚠️ This dataset currently contains the test split only. The training and validation splits require an approved application from the dataset authors (see Access below). Dataset Summary M6Doc is a large-scale, multi-format document layout analysis dataset presented at CVPR 2023 by the Deep Learning and Visual Computing Lab of South China University of Technology (SCUT). It covers 7 document types, 3 formats, and 74 fine-grained annotation… See the full description on the dataset page: https://huggingface.co/datasets/tuandunghcmut/M6Doc.
| Author / organization | tuandunghcmut |
|---|---|
| License (as declared) | cc-by-nc-nd-4.0 |
| Downloads | 126 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 28 February 2026 |
| Last updated at source | 28 February 2026 |
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Recent changes
- 17 Oct 2026 Description: M6Doc — Test Set ⚠️ This dataset currently contains the test split only. The training and validation splits require an approved application from the dataset authors (see Access below). Dataset Summary M6Doc is a large-scale, multi-format do → M6Doc — Test Set ⚠️ This dataset currently contains the test split only. The training and validation splits require an approved application from the dataset authors (see Access below). Dataset Summary M6Doc is a large-scale, multi-format do
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