The segment-anything library (from Meta AI Research) is a very useful tool for object detection and generating masks for objects found in images. It uses a ML model that does not need to be trained beforehand.
What's the difference between this Python project and similar ones?
Other computer vision models need to be trained with training data to find some specific objects in images, whereas this library boasts very strong zero-shot performance (it can be applied to any use case). It streamlines the entire process of finding and highlighting objects in computer vision applications.
--
Anyone who agrees with this pull request could submit an Approve review to it.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.
## 📋 Pull Request Information
**Original PR:** https://github.com/vinta/awesome-python/pull/2588
**Author:** [@jkmschoultz](https://github.com/jkmschoultz)
**Created:** 6/10/2024
**Status:** ❌ Closed
**Base:** `master` ← **Head:** `master`
---
### 📝 Commits (1)
- [`b88bcd2`](https://github.com/vinta/awesome-python/commit/b88bcd2829832e9bd580c512699288c7dc6c0586) Add segment-anything
### 📊 Changes
**1 file changed** (+1 additions, -0 deletions)
<details>
<summary>View changed files</summary>
📝 `README.md` (+1 -0)
</details>
### 📄 Description
## What is this Python project?
The [segment-anything](https://segment-anything.com) library (from Meta AI Research) is a very useful tool for object detection and generating masks for objects found in images. It uses a ML model that does not need to be trained beforehand.
## What's the difference between this Python project and similar ones?
Other computer vision models need to be trained with training data to find some specific objects in images, whereas this library boasts very strong zero-shot performance (it can be applied to any use case). It streamlines the entire process of finding and highlighting objects in computer vision applications.
--
Anyone who agrees with this pull request could submit an *Approve* review to it.
---
<sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
Blocking a user prevents them from interacting with repositories, such as opening or commenting on pull requests or issues. Learn more about blocking a user.
📋 Pull Request Information
Original PR: https://github.com/vinta/awesome-python/pull/2588
Author: @jkmschoultz
Created: 6/10/2024
Status: ❌ Closed
Base:
master← Head:master📝 Commits (1)
b88bcd2Add segment-anything📊 Changes
1 file changed (+1 additions, -0 deletions)
View changed files
📝
README.md(+1 -0)📄 Description
What is this Python project?
The segment-anything library (from Meta AI Research) is a very useful tool for object detection and generating masks for objects found in images. It uses a ML model that does not need to be trained beforehand.
What's the difference between this Python project and similar ones?
Other computer vision models need to be trained with training data to find some specific objects in images, whereas this library boasts very strong zero-shot performance (it can be applied to any use case). It streamlines the entire process of finding and highlighting objects in computer vision applications.
--
Anyone who agrees with this pull request could submit an Approve review to it.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.