OneOpen Annotator
Open-source, localhost-only data preparation & training
Annotate, generate versions, export, and train YOLO — all on your machine.
Install
pip install oneopen-annotator
With extras:
# YOLO Label Assist + local training (Ultralytics)
pip install "oneopen-annotator[yolo]"
# LibreYOLO backend
pip install "oneopen-annotator[libreyolo]"
# SAM interactive segmentation
pip install "oneopen-annotator[sam]"
# Everything
pip install "oneopen-annotator[all]"
From source (editable):
git clone https://github.com/1-OpenSource/OneOpen-Annotator.git
cd OneOpen-Annotator
pip install -e ".[yolo]"
Quick start
oneopen init # create ~/.oneopen
oneopen serve # http://127.0.0.1:8765
Or:
python -m oneopen_annotator serve
Open http://127.0.0.1:8765 — no account, no cloud upload.
What it does
| Step | Capability |
|---|---|
| Projects | Detection, segmentation, classification — create or import folder/zip |
| Upload | Bulk images, stored under your chosen project location |
| Annotate | Boxes & polygons; classes required before labeling |
| Label Assist | YOLO auto-label (YOLOv8–v10, YOLO11, YOLO26, LibreYOLO, custom weights) |
| SAM | Interactive segmentation (optional [sam]) |
| Generate | Preprocess, augment, train/valid/test splits, dataset versions |
| Train / Export | Local YOLO training; export YOLO zip + COCO |
100% local: SQLite + files under ~/.oneopen (or a path you pick per project).
CLI
oneopen serve Start the web UI (default :8765)
oneopen serve --port 9000 Custom port
oneopen init Initialize local data directory
oneopen version Print version
Environment:
# optional — override data root
set ONEOPEN_DATA_DIR=D:\oneopen-data # Windows
export ONEOPEN_DATA_DIR=/data/oneopen # Unix
Data layout
| Path | Contents |
|---|---|
~/.oneopen/oneopen.db |
SQLite database |
~/.oneopen/projects/<id>/ |
Default project location (images/) |
~/.oneopen/exports/ |
Exported datasets |
~/.oneopen/models/ |
Weights & training runs |
Optional: SAM
- Install:
pip install "oneopen-annotator[sam]"and segment-anything. - Place a checkpoint at
~/.oneopen/models/sam_vit_b_01ec64.pth(or configure equivalently).
Requirements
- Python 3.10+
- A modern browser
- Optional GPU for faster YOLO/SAM/training
License & credits
Apache License 2.0 — free to use, modify, and redistribute, including commercially.
Redistributors must keep copyright notices and the NOTICE file, so author credit stays with the project.
Copyright 2026 oneopensource
Citation
If you use OneOpen Annotator in research or a product, please credit:
@software{oneopensource_oneopen_annotator_2026,
author = {oneopensource},
title = {OneOpen Annotator},
year = {2026},
url = {https://github.com/1-OpenSource/OneOpen-Annotator},
note = {Open-source localhost CV annotation and training}
}
Author
oneopensource — creator and maintainer of OneOpen Annotator.
Contributions welcome under the same Apache 2.0 license.
Metadata
Release files for oneopen-annotator 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| oneopen_annotator-0.1.1.tar.gz | 80.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| oneopen_annotator-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 175.3 kB
Release files / oneopen_annotator-0.1.1.tar.gz
| Download URL | oneopen_annotator-0.1.1.tar.gz |
|---|---|
| Size | 80.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
d9fc55bdecff98a417773791a886bcab83254a7c9ffa58daea697880f9209715
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.4
|
Release files / oneopen_annotator-0.1.1-py3-none-any.whl
| Download URL | oneopen_annotator-0.1.1-py3-none-any.whl |
|---|---|
| Size | 94.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
03de816b304f53091ea685d55c098843003e90f56c11cb78c5ea9af3b2083fca
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.4
|
Security for oneopen-annotator 0.1.1
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