# wusaifei/garbage\_classify

<https://repo.masters-masters.com/en/repos/wusaifei/garbage_classify>

[Home](https://repo.masters-masters.com/en) › [wusaifei](https://repo.masters-masters.com/en/owners/wusaifei) › [garbage\_classify](https://repo.masters-masters.com/en/repos/wusaifei/garbage_classify)

wusaifei/garbage\_classify has 763 stars on GitHub. Its RepoMasters card: Beta tier. 本文新增添分类，检测，换脸技术等学习教程，各种调参技巧和tricks，卷积结构详细解析可视化，注意力机制代码等详解！本次垃圾分类挑战杯，目的在于构建基…

| Field | Value |
| --- | --- |
| Owner | [wusaifei](https://repo.masters-masters.com/en/owners/wusaifei) |
| Stars | 763 |
| Forks | 178 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2019 |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [wusaifei/garbage\_classify](https://github.com/wusaifei/garbage_classify) |

## Repository

本文新增添分类，检测，换脸技术等学习教程，各种调参技巧和tricks，卷积结构详细解析可视化，注意力机制代码等详解！本次垃圾分类挑战杯，目的在于构建基于深度学习技术的图像分类模型，实现垃圾图片类别的精准识别，大赛参考深圳垃圾分类标准，按可回收物、厨余垃圾、有害垃圾和其他垃圾四项分类。本项目包含完整的分类网络、数据增强、SVM等各种分类增强策略，后续还会继续更新新的分类技巧。

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

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