Who should use imagebaker?

imagebaker is an open-source project built for computer vision researchers and developers.

Yes — imagebaker is open source under the MIT license and free to use.

What platforms does imagebaker run on?

imagebaker runs on the command line, macOS, Windows, and Linux. It can also be self-hosted.

Is imagebaker still active?

The GitHub repository shows 9 commits in the last 90 days.

What are alternatives to imagebaker?

Similar projects tracked by PulseGate include pdftoexcel, pii-sweep, and BizBuySell Scraper.

Who develops imagebaker?

imagebaker is developed by q-viper.

When did imagebaker launch?

imagebaker first shipped in 2025.

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imagebaker

Name: imagebaker
Author: q-viper

github.comInfrastructure

imagebaker is an open-source tool for image annotation and segmentation, offering a GUI, CLI, and Python API. It supports integration with YOLO and SAM, making it suitable for computer vision researchers and developers working on image datasets.

Open SourceMITCLISelf-hostedmacOSWindowsLinux

Visit github.com

21stars

2forks

7features

2025since

Overview

7 features

In the Data labelling & annotation space, imagebaker takes a focused approach. It focuses on enabling efficient image annotation and segmentation for computer vision projects. imagebaker is an open-source project aimed at computer vision researchers and developers. The project is open source (MIT). It ships for the command line, macOS, Windows, and Linux, and it can be self-hosted.

It is developed by q-viper, and it first shipped in 2025. Development happens publicly on GitHub with 21 stars and 9 commits in the last 90 days. Key capabilities include image annotation, segmentation, and GUI interface.

Summary written by a language model from the project’s public pages.

Image annotation
Segmentation
GUI interface
CLI support
Python API
YOLO integration
SAM support

Built with & integrations

Runs on

CLISelf-hostedmacOSWindowsLinux

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierGitHub · ★ 21Active maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed27 Jun · 21:35 UTC
imagebaker verified via PyPI Fresh Feed
Source: PyPI Fresh Feed · Open

Frequently asked questions about imagebaker

What is imagebaker?: Imagebaker focuses on enabling efficient image annotation and segmentation for computer vision projects. It is catalogued under Data labelling & annotation on PulseGate.
Who should use imagebaker?: imagebaker is an open-source project built for computer vision researchers and developers.
Is imagebaker free?: Yes — imagebaker is open source under the MIT license and free to use.
What platforms does imagebaker run on?: imagebaker runs on the command line, macOS, Windows, and Linux. It can also be self-hosted.
Is imagebaker still active?: The GitHub repository shows 9 commits in the last 90 days.
What are alternatives to imagebaker?: Similar projects tracked by PulseGate include pdftoexcel, pii-sweep, and BizBuySell Scraper.pdftoexcel pii-sweep BizBuySell Scraper
Who develops imagebaker?: imagebaker is developed by q-viper.
When did imagebaker launch?: imagebaker first shipped in 2025.

At a glance

Platforms: CLI
Languages: English
Open source: Yes · ★ 21
License: MIT
Built for: computer vision researchers and developers
Model: Open source
Solves: Enabling efficient image annotation and segmentation for computer vision projects.

Registered as

GitHub: q-viper/Image-Baker
PyPI: imagebaker

Developer

q-viper

Small team

GitHub

Open source

View on GitHub

Stars: 21
Forks: 2
Open issues: 12
Last commit: 19 May 2026
Commits 90d: 9
Contributors: 2
Authorship: Small team
Default branch: main

Index record

Indexed: 27 Jun 2026
Lifecycle: Alive
Last seen: 27 Jun 2026

Identity audit (12)

Slug: imagebaker-pypi-org
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 27 Jun 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Written by a language model from the project's public pages.
Category from: Recorded source: taxonomy-pass-a.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Canonical URL: https://github.com/q-viper/Image-Baker

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