# WisconsinAIVision/yolact\_edge

<https://repo.masters-masters.com/en/repos/WisconsinAIVision/yolact_edge>

[Home](https://repo.masters-masters.com/en) › [WisconsinAIVision](https://repo.masters-masters.com/en/owners/WisconsinAIVision) › [yolact\_edge](https://repo.masters-masters.com/en/repos/WisconsinAIVision/yolact_edge)

WisconsinAIVision/yolact\_edge has 1,321 stars on GitHub. Its RepoMasters card: Beta tier. The first competitive instance segmentation approach that runs on…

| Field | Value |
| --- | --- |
| Owner | [WisconsinAIVision](https://repo.masters-masters.com/en/owners/WisconsinAIVision) |
| Stars | 1,321 |
| Forks | 272 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2020 |
| Topics | realtime, real-time, instance-segmentation, yolactedge, pytorch, edge-devices |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [WisconsinAIVision/yolact\_edge](https://github.com/WisconsinAIVision/yolact_edge) |

## Repository

The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.

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

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Data: GitHub · Illustration: the project’s public image, pixelated by RepoMasters.