swiftvision-labelling
No liveness check has reached it yet; it is registered on GitHub and PyPI and has been in the index since 8 Oct 2026. How this is checked
swiftvision-labelling is an offline image annotation studio with a Roboflow-style interface for drawing bounding boxes and polygons. It exports labels in YOLO and COCO formats and is intended for computer-vision and machine-learning workflows.
Inferred · not functionally tested
Overview
6 featuresPurpose: Creating computer-vision image annotations without relying on an online labeling service.
Inferred · not functionally tested
Audience: computer-vision developers and machine-learning teams
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, macos, windows, linux, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: pypi.org · github.com. These links do not verify the individual claims.
swiftvision-labelling sits in PulseGate's Data labelling & annotation category. Inferred · not functionally tested: It focuses on creating computer-vision image annotations without relying on an online labeling service. Inferred · not functionally tested: It is built as an open-source project for computer-vision developers and machine-learning teams. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: swiftvision-labelling is available on the command line, macOS, Windows, and Linux, and it can be self-hosted.
yourusername builds and maintains swiftvision-labelling, and it first shipped in 2026. Inferred · not functionally tested: Key capabilities include bounding boxes, polygon annotation, and YOLO export.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Bounding boxes
- Polygon annotation
- YOLO export
- COCO export
- Offline workflow
- Desktop interface
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed8 Oct · 13:55 UTCswiftvision-labelling seen via PyPI Bulk EnumeratorSource: PyPI Bulk Enumerator · Open
Frequently asked questions about swiftvision-labelling
- What is swiftvision-labelling?
- Inferred · not functionally tested: Swiftvision-labelling focuses on creating computer-vision image annotations without relying on an online labeling service. It is catalogued under Data labelling & annotation on PulseGate.
- Who is swiftvision-labelling for?
- Inferred · not functionally tested: swiftvision-labelling is an open-source project built for computer-vision developers and machine-learning teams.
- Does swiftvision-labelling have a free plan?
- Basis unknown · not verified: Yes — swiftvision-labelling is open source under the MIT license and free to use.
- What platforms does swiftvision-labelling run on?
- Basis unknown · not verified: swiftvision-labelling runs on the command line, macOS, Windows, and Linux. It can also be self-hosted.
- Is swiftvision-labelling still maintained?
- Unverified. swiftvision-labelling has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
- Who develops swiftvision-labelling?
- swiftvision-labelling is developed by yourusername.
- How long has swiftvision-labelling been around?
- swiftvision-labelling first shipped in 2026.
- Is swiftvision-labelling open source?
- Basis unknown · not verified: Yes — swiftvision-labelling is open source under the MIT license, developed on GitHub.
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