# CXH-Research/DocShadow-SD7K

<https://repo.masters-masters.com/en/repos/CXH-Research/DocShadow-SD7K>

[Home](https://repo.masters-masters.com/en) › [CXH-Research](https://repo.masters-masters.com/en/owners/CXH-Research) › [DocShadow-SD7K](https://repo.masters-masters.com/en/repos/CXH-Research/DocShadow-SD7K)

CXH-Research/DocShadow-SD7K has 210 stars on GitHub. Its RepoMasters card: Prototype tier. \[ICCV 2023\] A large-scale high-resolution dataset satisfies all…

| Field | Value |
| --- | --- |
| Owner | [CXH-Research](https://repo.masters-masters.com/en/owners/CXH-Research) |
| Stars | 210 |
| Forks | 14 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2023 |
| Topics | document-shadow-removal, shadow-removal, iccv2023 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [CXH-Research/DocShadow-SD7K](https://github.com/CXH-Research/DocShadow-SD7K) |

## Repository

\[ICCV 2023\] A large-scale high-resolution dataset satisfies all important data features about document shadow, covers a large number of document shadow images.

Archived: this repository is read-only

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.