3LC YOLO Integration
Ultralytics YOLO classification, object detection, instance segmentation, pose estimation and OBB with 3LC integrated.
About 3LC
3LC is a tool which enables data scientists to improve machine learning models in a data-centric fashion. It collects per-sample predictions and metrics, allows viewing and modifying the dataset in the context of those predictions in the 3LC Dashboard, and rerunning training with the revised dataset.
3LC is free for non-commercial use.
Quick Start
Installation
Install the package and requirements into a virtual environment (Python 3.10–3.14):
pip install 3lc-ultralytics
If you use uv, the equivalent commands are uv pip install 3lc-ultralytics, or uv add 3lc-ultralytics to add it to a uv project.
Dataset and Training
The integration is documented on the project GitHub Page, and details how to register datasets, run training and collect metrics.
2 maintainers
Metadata
2 maintainers
Release files for 3lc-ultralytics 0.5.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| 3lc_ultralytics-0.5.1.tar.gz | 1.5 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| 3lc_ultralytics-0.5.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.0 MB
Release files / 3lc_ultralytics-0.5.1.tar.gz
| Download URL | 3lc_ultralytics-0.5.1.tar.gz |
|---|---|
| Size | 1.5 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9ee8b984fdd21c76665484af2d836e1094d28fd3433568ba191b1f6b9bc30c19
|
|
BLAKE2b-256 checksum How to use checksums |
15daf352b18121048405d595c4f6a39fabd2caeea128256147771208f0aa55f3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
uv/0.7.19
|
Release files / 3lc_ultralytics-0.5.1-py3-none-any.whl
| Download URL | 3lc_ultralytics-0.5.1-py3-none-any.whl |
|---|---|
| Size | 1.5 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
2b41ffc0a344b0be24eb8766291f1136b08ffd1fc226de013617e687ce3dd914
|
|
BLAKE2b-256 checksum How to use checksums |
3080c45025b0bbe082441efc00e0b26dad9304931467b2d4f12c3b8b1e1c223a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
uv/0.7.19
|
