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SwiftVision

PyPIInfrastructure

PulseGate's liveness check found it on 1 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 1 Oct 2026. How this is checked

SwiftVision is an MIT-licensed image annotation studio for labeling computer-vision datasets. It supports image annotation workflows such as bounding boxes and is intended for developers and teams preparing data for YOLO and related models.

Inferred · not functionally tested

Open SourceMITCLISelf-hostedmacOSWindowsLinux
Visit PyPI

Overview

5 features

Purpose: Creating bounding-box annotations and labeled datasets for computer-vision models.

Inferred · not functionally tested

Audience: computer-vision developers and dataset annotators

Inferred · not functionally tested

Functions: data_extraction

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted, macos, windows, linux

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

SwiftVision is a Data labelling & annotation project. Inferred · not functionally tested: It focuses on creating bounding-box annotations and labeled datasets for computer-vision models. Inferred · not functionally tested: SwiftVision is an open-source project aimed at computer-vision developers and dataset annotators. Basis unknown · not verified: SwiftVision is open source under the MIT license. Basis unknown · not verified: It ships for the command line, macOS, Windows, and Linux, and it can be self-hosted.

It is developed by yourusername, and it first shipped in 2026. Inferred · not functionally tested: Key capabilities include image annotation, bounding boxes, and dataset labeling.

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

Tasks: Inferred · not functionally tested

  • Image annotation
  • Bounding boxes
  • Dataset labeling
  • YOLO support
  • Computer vision

Topics: Inferred · not functionally tested

Tags
image-annotationbounding-box-labelingyolo-datasetscomputer-vision
AI capabilities
Image

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
CLISelf-hostedmacOSWindowsLinux

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHub

Indexing history

2

What PulseGate has recorded for this listing

  1. Indexed1 Oct · 11:51 UTC
    swiftvision seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  2. Indexed1 Oct · 07:18 UTC
    swiftvision seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about SwiftVision

What is SwiftVision?
Inferred · not functionally tested: SwiftVision focuses on creating bounding-box annotations and labeled datasets for computer-vision models. It is catalogued under Data labelling & annotation on PulseGate.
Who is SwiftVision for?
Inferred · not functionally tested: SwiftVision is an open-source project built for computer-vision developers and dataset annotators.
Does SwiftVision have a free plan?
Basis unknown · not verified: Yes — SwiftVision is open source under the MIT license and free to use.
What platforms does SwiftVision run on?
Basis unknown · not verified: SwiftVision runs on the command line, macOS, Windows, and Linux. It can also be self-hosted.
Is SwiftVision still active?
PulseGate's liveness check found it on 1 Oct 2026.
What projects are similar to SwiftVision?
Similar projects tracked by PulseGate include Blackout, swiftvision-labelling, and X4.Blackoutswiftvision-labellingX4
Who makes SwiftVision?
SwiftVision is developed by yourusername.
When did SwiftVision launch?
SwiftVision first shipped in 2026.

Also in Data labelling & annotation

Same category — not a similarity match