# qqlu/Entity

<https://repo.masters-masters.com/en/repos/qqlu/Entity>

[Home](https://repo.masters-masters.com/en) › [qqlu](https://repo.masters-masters.com/en/owners/qqlu) › [Entity](https://repo.masters-masters.com/en/repos/qqlu/Entity)

qqlu/Entity has 1,055 stars on GitHub. Its RepoMasters card: Beta tier. EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

| Field | Value |
| --- | --- |
| Owner | [qqlu](https://repo.masters-masters.com/en/owners/qqlu) |
| Stars | 1,055 |
| Forks | 61 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2021 |
| Topics | image-segmentation, segmentation, pytorch, instance-segmentation, panoptic-segmentation, semantic-segmentation, object-detection, fcos, condinst, detectron2 |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [qqlu/Entity](https://github.com/qqlu/Entity) |

## Repository

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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- [qqlu/Amodal-Instance-Segmentation-through-KINS-Dataset · ★ 134 · Python · Prototype](https://repo.masters-masters.com/en/repos/qqlu/Amodal-Instance-Segmentation-through-KINS-Dataset)

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