# facebookresearch/EasyComDataset

<https://repo.masters-masters.com/en/repos/facebookresearch/EasyComDataset>

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

facebookresearch/EasyComDataset has 145 stars on GitHub. Its RepoMasters card: Prototype tier. The Easy Communications (EasyCom) dataset is a world-first…

| Field | Value |
| --- | --- |
| Owner | [facebookresearch](https://repo.masters-masters.com/en/owners/facebookresearch) |
| Stars | 145 |
| Forks | 11 |
| Language | No language |
| License | None |
| Created | 2021 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [facebookresearch/EasyComDataset](https://github.com/facebookresearch/EasyComDataset) |

## Repository

The Easy Communications (EasyCom) dataset is a world-first dataset designed to help mitigate the \*cocktail party effect\* from an augmented-reality (AR) -motivated multi-sensor egocentric world view.

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

## More repos by facebookresearch

- [facebookresearch/segment-anything · ★ 55,095 · Jupyter Notebook · LTS](https://repo.masters-masters.com/en/repos/facebookresearch/segment-anything)
- [facebookresearch/faiss · ★ 41,250 · C++ · LTS](https://repo.masters-masters.com/en/repos/facebookresearch/faiss)
- [facebookresearch/detectron2 · ★ 34,965 · Python · LTS](https://repo.masters-masters.com/en/repos/facebookresearch/detectron2)
- [facebookresearch/fairseq · ★ 32,210 · Python · LTS](https://repo.masters-masters.com/en/repos/facebookresearch/fairseq)
- [facebookresearch/fastText · ★ 26,513 · HTML · LTS](https://repo.masters-masters.com/en/repos/facebookresearch/fastText)
- [facebookresearch/Detectron · ★ 26,343 · Python · LTS](https://repo.masters-masters.com/en/repos/facebookresearch/Detectron)

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