ISAT_with_segment_anything [isat-sam]

An Interactive Semi-Automatic Annotation Tool Based on Segment Anything

⭐️ If you find this project helpful, please give it a Star! ⭐️

[中文] [English]

Focusing on the field of image segmentation, we strive to create the best image segmentation annotation software.

Please refers to our latest Documentation in English or 中文文档

News

In version 1.5.2, ISAT supports visual prompt base on SAM3.

Visual prompt
In version 1.5.0, ISAT supports SAM3 and also supports text prompt.

Text prompt

For single category

For multiple categories
In version 1.4.0, ISAT add a plugin system. You can use a small amount of code to extend the functionality of ISAT.

Here are some official plugin examples:
- ISAT_plugin_auto_annotate : An auto-annotation function based on the YOLO model, implemented with just 240 lines of code.
- ISAT_plugin_mask_export : A mask export function, implemented with just 160 lines of code.
For other versions and the release note, please refer to releases

Install

Create a conda environment(recommended, optional)

# create environment
conda create -n isat_env python=3.8

# activate environment
conda activate isat_env

Install
```
pip install isat-sam
```
Run
```
isat-sam
```

Star History

Please support us with a star—it's like a virtual coffee!

Contributors

		...
yatengLG	Alias-z	...

Citation

@misc{ISAT_with_segment_anything,
  title={{ISAT with Segment Anything: An Interactive Semi-Automatic Annotation Tool}},
  author={Ji, Shuwei and Zhang, Hongyuan},
  url={https://github.com/yatengLG/ISAT_with_segment_anything},
  note={Updated on 2025-02-07},
  year={2024},
  version={1.33}
}

Metadata

Release files for isat-sam 1.5.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for isat-sam 1.5.2
File	Size	Uploaded
isat_sam-1.5.2.tar.gz	2.2 MB	Dec 31, 2025	Details

Release files / isat_sam-1.5.2.tar.gz

Download URL	isat_sam-1.5.2.tar.gz
Size	2.2 MB
Tags	Source
SHA-256 checksum How to use checksums	`a64da9e8e02416dfa22f44941761edfb76c4f336f0f120f05e9c28d01e24bc54`
BLAKE2b-256 checksum How to use checksums	`d193b727874b07cdea5da3df717382cb07b1c9285a2ab0d8bff90f0fd8c23511`
Upload date	Dec 31, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.14.2`