encord-active


Nameencord-active JSON
Version 0.1.29 PyPI version JSON
download
home_pagehttps://encord.com/encord-active/
SummaryEnable users to improve machine learning models in an active learning fashion via data, label, and model quality.
upload_time2023-02-03 11:12:38
maintainer
docs_urlNone
authorCord Technologies Limited
requires_python>=3.9, !=2.7.*, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*, !=3.7.*, !=3.8.*
licenseApache-2.0
keywords encord active machine learning data label model quality test
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            <p align="center">
<a href="https://encord-active-docs.web.app" target="_blank">Documentation</a> |
<a href="https://colab.research.google.com/drive/11iZE1CCFIGlkWdTmhf5XACDojtGeIRGS?usp=sharing" target="_blank">Try it Now</a> |
<a href="https://encord.com/encord_active/" target="_blank">Website</a> |
<a href="https://encord.com/blog/" target="_blank">Blog</a> |
<a href="https://join.slack.com/t/encordactive/shared_invite/zt-1hc2vqur9-Fzj1EEAHoqu91sZ0CX0A7Q" target="_blank">Slack Community</a>
</p>

<h1 align="center">
  <p align="center">Encord Active</p>
  <a href="https://encord.com"><img src="src/encord_active/app/assets/encord_2_02.png" width="150" alt="Encord logo"/></a>
</h1>

[![PRs-Welcome][contribute-image]][contribute-url]
![Licence][license-image]
[![PyPi project][pypi-package-image]][pypi-package]
![PyPi version][pypi-version-image]
[![Open In Colab][colab-image]][colab-notebook]

[![docs][docs-image]][encord-active-docs]
[!["Join us on Slack"][slack-image]][join-slack]
[![Twitter Follow][twitter-image]][twitter-url]

## ❓ What is Encord Active?

[Encord Active][encord-active-landing] is an open-source active learning tookit that helps you find failure modes in your models and improve your data quality and model performance.

Use Encord Active to visualize your data, evaluate your models, surface model failure modes, find labeling mistakes, prioritize high-value data for re-labeling and more!

![video](resources/ea-demo.gif)

## 💡 When to use Encord Active?

Encord Active helps you understand and improve your data, labels, and models at all stages of your computer vision journey.

Whether you've just started collecting data, labeled your first batch of samples, or have multiple models in production, Encord Active can help you.

![encord active diagram](resources/process-chart-ea.webp)

## 🔖 Documentation

Our full documentation is available [here](https://encord-active-docs.web.app). In particular we recommend checking out:

- [Getting Started](https://encord-active-docs.web.app/)
- [Workflows][encord-active-docs-workflow]
- [Tutorials](https://encord-active-docs.web.app/category/tutorials)
- [CLI Documentation](https://encord-active-docs.web.app/category/command-line-interface)

## Installation

The simplest way to install the CLI is using `pip` in a suitable virtual environment:

```shell
pip install encord-active
```

We recommend using a virtual environment, such as `venv`:

```shell
python3.9 -m venv ea-venv
source ea-venv/bin/activate
pip install encord-active
```

> `encord-active` requires [python3.9][python-39].
> If you have trouble installing `encord-active`, you find more detailed instructions on
> installing it [here][encord-active-docs].

## 👋 Quickstart

Get started immediately by sourcing your environment and running the code below.
This downloads a small dataset and launches the Encord Active App for you to explore:

```shell
encord-active quickstart
```

After opening the UI, we recommend you to head to the [workflow documentation][encord-active-docs-workflow] to see some common workflows.

## ⬇️  Download a sandbox dataset

Another way to start quickly is by downloading an existing dataset from the sandbox.
The download command will ask which pre-built dataset to use and will download it into a new directory in the current working directory.

```shell
encord-active download
cd /path/of/downloaded/project
encord-active visualise
```

The app should then open in the browser.
If not, navigate to [`localhost:8501`](http://localhost:8501).
Our [docs][encord-active-docs] contains more information about what you can see in the page.

## <img width="24" height="24" src="resources/logo.png"/> Import your dataset

### Quick import Dataset

To import your data (without labels) save your data in a directory and run the command:

```shell
# within venv
encord-active init /path/to/data/directory
```

A project will be created using the data in the directory.

To visualise the project run:

```shell
cd /path/to/project
encord-active visualise
```

You can find more details on the `init` command in the [CLI documentation][encord-active-docs-init].

### Import from COCO

To import your data, labels, and predictions from COCO, save your data in a directory and run the command:

```shell
# install COCO extras
(ea-venv)$ python -m pip install encord-active[coco]

# import samples with COCO annotaions
encord-active import project --coco -i ./images -a ./annotations.json

# import COCO model predictions
encord-active import predictions --coco results.json
```

### Import from Encord Platform

This section requires [setting up an ssh key][encord-docs-ssh] with Encord, so slightly more technical.

> If you haven't set up an ssh key with Encord, you can follow the tutorial in [this link][encord-docs-ssh].

To import an Encord project, use this command:

```shell
encord-active import project
```

The command will allow you to search through your Encord projects and choose which one to import.

### Other options

> There are also options for importing projects from, e.g,. KITTI and CVAT. Find more details in [the documentation][encord-active-docs-workflow-import-data].

## ⭐ Concepts and features

### Quality metrics:

Quality metrics are applied to your data, labels, and predictions to assign them quality metric scores.
Plug in your own or rely on Encord Active's prebuilt quality metrics.
The quality metrics automatically decompose your data, label, and model quality to show you how to improve your model performance from a data-centric perspective.
Encord Active ships with 25+ metrics and more are coming; [contributions][contribute-url] are also very welcome.

### Core features:

- [Data Exploration](https://encord-active-docs.web.app/pages/data-quality/summary)
- [Data Outlier detection](https://encord-active-docs.web.app/workflows/Improve-your-data/identify-outliers-edge-cases)
- [Label Outlier detection](https://encord-active-docs.web.app/workflows/improve-your-labels/identify-outliers)
- [Model Decomposition](https://encord-active-docs.web.app/pages/model-quality/metrics)
- [Similarity Search](https://encord-active-docs.web.app/workflows/Improve-your-data/similar-images)
- [Annotator Benchmarks](https://encord-active-docs.web.app/pages/label-quality/explorer/)
- [Data Tagging](https://encord-active-docs.web.app/workflows/tags/#steps)
- [Visualise TP/FP/FN](https://encord-active-docs.web.app/category/model-quality)
- [Dataset Balancing](https://encord-active-docs.web.app/pages/export/balance_export)
- [COCO Exports](https://encord-active-docs.web.app/pages/export/filter_export)
- And much more!

Visit our [documentation][encord-active-docs] to learn more.

### Supported data:

| Data   |     | Labels          |     | Project sizes |                |
| ------ | --- | --------------- | --- | ------------- | -------------- |
| `jpg`  | ✅  | Bounding Boxes  | ✅  | Images        | 100.000        |
| `png`  | ✅  | Polygons        | ✅  | Videos        | 100.000 frames |
| `tiff` | ✅  | Segmentation    | ✅  |               |                |
| `mp4`  | ✅  | Classifications | 🟡  |               |                |
|        |     | Polylines       | 🟡  |               |                |

## 🧑🏽‍💻Development

### 🛠 Build your own quality metrics

Encord Active is built with customizability in mind. Therefore, you can easily build your own custom metrics 🔧 See the [Writing Your Own Metric][encord-active-docs-write-metric] page in the docs for details on this topic. If you need help or guidance feel free to ping us in the **[slack community](https://encordactive.slack.com)**!

## 👪 Community and support

Join our community on [Slack][join-slack] to connect with the team behind Encord Active.

Also, feel free to [suggest improvements or report problems][report-issue] via github issues.

## 🎇 Contributions

If you're using Encord Active in your organization, please try to add your company name to the [ADOPTERS.md][adopters]. It really helps the project to gain momentum and credibility. It's a small contribution back to the project with a big impact.

If you want to share your custom metrics or improve the tool, please see our [contributing docs][contribute-url].

### 🦸 Contributors

<a href="https://github.com/encord-team/encord-active/graphs/contributors">
  <img src="https://contrib.rocks/image?repo=encord-team/encord-active" />
</a>

[@Javi Leguina](https://github.com/jleguina)

## Licence

This repository is published under the Apache 2.0 licence.

[adopters]: https://github.com/encord-team/encord-active/blob/main/ADOPTERS.md
[colab-notebook]: https://colab.research.google.com/drive/11iZE1CCFIGlkWdTmhf5XACDojtGeIRGS?usp=sharing
[contribute-url]: https://encord-active-docs.web.app/contributing
[encord-active-docs-init]: https://encord-active-docs.web.app/cli/initialising-project-from-image-directories
[encord-active-docs-workflow-import-data]: https://encord-active-docs.web.app/workflows/import-data
[encord-active-docs-workflow]: https://encord-active-docs.web.app/category/workflows
[encord-active-docs-write-metric]: https://encord-active-docs.web.app/metrics/write-your-own
[encord-active-docs]: https://encord-active-docs.web.app/
[encord-active-landing]: https://encord.com/encord-active/
[encord-docs-ssh]: https://docs.encord.com/admins/settings/public-keys/#set-up-public-key-authentication
[join-slack]: https://join.slack.com/t/encordactive/shared_invite/zt-1hc2vqur9-Fzj1EEAHoqu91sZ0CX0A7Q
[new-issue]: https://github.com/encord-team/encord-active/issues/new
[pypi-package]: https://www.piwheels.org/project/encord-active/
[python-39]: https://www.python.org/downloads/release/python-3915/
[report-issue]: https://github.com/encord-team/data-quality-pocs/issues/new
[slack-community]: https://encord-active.slack.com
[twitter-url]: https://twitter.com/encord_team
[colab-image]: https://colab.research.google.com/assets/colab-badge.svg
[contribute-image]: https://img.shields.io/badge/PRs-welcome-blue.svg
[docs-image]: https://img.shields.io/badge/docs-online-blue
[license-image]: https://img.shields.io/github/license/encord-team/encord-active
[pypi-package-image]: https://img.shields.io/pypi/v/encord-active
[pypi-version-image]: https://img.shields.io/pypi/pyversions/encord-active
[slack-image]: https://img.shields.io/badge/Slack-4A154B?logo=slack&logoColor=white
[twitter-image]: https://img.shields.io/twitter/follow/encord_team?label=%40encord_team&style=social

            

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    "description": "<p align=\"center\">\n<a href=\"https://encord-active-docs.web.app\" target=\"_blank\">Documentation</a> |\n<a href=\"https://colab.research.google.com/drive/11iZE1CCFIGlkWdTmhf5XACDojtGeIRGS?usp=sharing\" target=\"_blank\">Try it Now</a> |\n<a href=\"https://encord.com/encord_active/\" target=\"_blank\">Website</a> |\n<a href=\"https://encord.com/blog/\" target=\"_blank\">Blog</a> |\n<a href=\"https://join.slack.com/t/encordactive/shared_invite/zt-1hc2vqur9-Fzj1EEAHoqu91sZ0CX0A7Q\" target=\"_blank\">Slack Community</a>\n</p>\n\n<h1 align=\"center\">\n  <p align=\"center\">Encord Active</p>\n  <a href=\"https://encord.com\"><img src=\"src/encord_active/app/assets/encord_2_02.png\" width=\"150\" alt=\"Encord logo\"/></a>\n</h1>\n\n[![PRs-Welcome][contribute-image]][contribute-url]\n![Licence][license-image]\n[![PyPi project][pypi-package-image]][pypi-package]\n![PyPi version][pypi-version-image]\n[![Open In Colab][colab-image]][colab-notebook]\n\n[![docs][docs-image]][encord-active-docs]\n[![\"Join us on Slack\"][slack-image]][join-slack]\n[![Twitter Follow][twitter-image]][twitter-url]\n\n## \u2753 What is Encord Active?\n\n[Encord Active][encord-active-landing] is an open-source active learning tookit that helps you find failure modes in your models and improve your data quality and model performance.\n\nUse Encord Active to visualize your data, evaluate your models, surface model failure modes, find labeling mistakes, prioritize high-value data for re-labeling and more!\n\n![video](resources/ea-demo.gif)\n\n## \ud83d\udca1 When to use Encord Active?\n\nEncord Active helps you understand and improve your data, labels, and models at all stages of your computer vision journey.\n\nWhether you've just started collecting data, labeled your first batch of samples, or have multiple models in production, Encord Active can help you.\n\n![encord active diagram](resources/process-chart-ea.webp)\n\n## \ud83d\udd16 Documentation\n\nOur full documentation is available [here](https://encord-active-docs.web.app). In particular we recommend checking out:\n\n- [Getting Started](https://encord-active-docs.web.app/)\n- [Workflows][encord-active-docs-workflow]\n- [Tutorials](https://encord-active-docs.web.app/category/tutorials)\n- [CLI Documentation](https://encord-active-docs.web.app/category/command-line-interface)\n\n## Installation\n\nThe simplest way to install the CLI is using `pip` in a suitable virtual environment:\n\n```shell\npip install encord-active\n```\n\nWe recommend using a virtual environment, such as `venv`:\n\n```shell\npython3.9 -m venv ea-venv\nsource ea-venv/bin/activate\npip install encord-active\n```\n\n> `encord-active` requires [python3.9][python-39].\n> If you have trouble installing `encord-active`, you find more detailed instructions on\n> installing it [here][encord-active-docs].\n\n## \ud83d\udc4b Quickstart\n\nGet started immediately by sourcing your environment and running the code below.\nThis downloads a small dataset and launches the Encord Active App for you to explore:\n\n```shell\nencord-active quickstart\n```\n\nAfter opening the UI, we recommend you to head to the [workflow documentation][encord-active-docs-workflow] to see some common workflows.\n\n## \u2b07\ufe0f\u00a0 Download a sandbox dataset\n\nAnother way to start quickly is by downloading an existing dataset from the sandbox.\nThe download command will ask which pre-built dataset to use and will download it into a new directory in the current working directory.\n\n```shell\nencord-active download\ncd /path/of/downloaded/project\nencord-active visualise\n```\n\nThe app should then open in the browser.\nIf not, navigate to [`localhost:8501`](http://localhost:8501).\nOur [docs][encord-active-docs] contains more information about what you can see in the page.\n\n## <img width=\"24\" height=\"24\" src=\"resources/logo.png\"/> Import your dataset\n\n### Quick import Dataset\n\nTo import your data (without labels) save your data in a directory and run the command:\n\n```shell\n# within venv\nencord-active init /path/to/data/directory\n```\n\nA project will be created using the data in the directory.\n\nTo visualise the project run:\n\n```shell\ncd /path/to/project\nencord-active visualise\n```\n\nYou can find more details on the `init` command in the [CLI documentation][encord-active-docs-init].\n\n### Import from COCO\n\nTo import your data, labels, and predictions from COCO, save your data in a directory and run the command:\n\n```shell\n# install COCO extras\n(ea-venv)$ python -m pip install encord-active[coco]\n\n# import samples with COCO annotaions\nencord-active import project --coco -i ./images -a ./annotations.json\n\n# import COCO model predictions\nencord-active import predictions --coco results.json\n```\n\n### Import from Encord Platform\n\nThis section requires [setting up an ssh key][encord-docs-ssh] with Encord, so slightly more technical.\n\n> If you haven't set up an ssh key with Encord, you can follow the tutorial in [this\u00a0link][encord-docs-ssh].\n\nTo import an Encord project, use this command:\n\n```shell\nencord-active import project\n```\n\nThe command will allow you to search through your Encord projects and choose which one to import.\n\n### Other options\n\n> There are also options for importing projects from, e.g,. KITTI and CVAT. Find more details in [the documentation][encord-active-docs-workflow-import-data].\n\n## \u2b50 Concepts and features\n\n### Quality metrics:\n\nQuality metrics are applied to your data, labels, and predictions to assign them quality metric scores.\nPlug in your own or rely on Encord Active's prebuilt quality metrics.\nThe quality metrics automatically decompose your data, label, and model quality to show you how to improve your model performance from a data-centric perspective.\nEncord Active ships with 25+ metrics and more are coming; [contributions][contribute-url] are also very welcome.\n\n### Core features:\n\n- [Data Exploration](https://encord-active-docs.web.app/pages/data-quality/summary)\n- [Data Outlier detection](https://encord-active-docs.web.app/workflows/Improve-your-data/identify-outliers-edge-cases)\n- [Label Outlier detection](https://encord-active-docs.web.app/workflows/improve-your-labels/identify-outliers)\n- [Model Decomposition](https://encord-active-docs.web.app/pages/model-quality/metrics)\n- [Similarity Search](https://encord-active-docs.web.app/workflows/Improve-your-data/similar-images)\n- [Annotator Benchmarks](https://encord-active-docs.web.app/pages/label-quality/explorer/)\n- [Data Tagging](https://encord-active-docs.web.app/workflows/tags/#steps)\n- [Visualise TP/FP/FN](https://encord-active-docs.web.app/category/model-quality)\n- [Dataset Balancing](https://encord-active-docs.web.app/pages/export/balance_export)\n- [COCO Exports](https://encord-active-docs.web.app/pages/export/filter_export)\n- And much more!\n\nVisit our [documentation][encord-active-docs] to learn more.\n\n### Supported data:\n\n| Data   |     | Labels          |     | Project sizes |                |\n| ------ | --- | --------------- | --- | ------------- | -------------- |\n| `jpg`  | \u2705  | Bounding Boxes  | \u2705  | Images        | 100.000        |\n| `png`  | \u2705  | Polygons        | \u2705  | Videos        | 100.000 frames |\n| `tiff` | \u2705  | Segmentation    | \u2705  |               |                |\n| `mp4`  | \u2705  | Classifications | \ud83d\udfe1  |               |                |\n|        |     | Polylines       | \ud83d\udfe1  |               |                |\n\n## \ud83e\uddd1\ud83c\udffd\u200d\ud83d\udcbbDevelopment\n\n### \ud83d\udee0 Build your own quality metrics\n\nEncord Active is built with customizability in mind. Therefore, you can easily build your own custom metrics\u00a0\ud83d\udd27\u00a0See the\u00a0[Writing Your Own Metric][encord-active-docs-write-metric]\u00a0page in the docs for details on this topic. If you need help or guidance feel free to ping us in the **[slack community](https://encordactive.slack.com)**!\n\n## \ud83d\udc6a Community and support\n\nJoin our community on\u00a0[Slack][join-slack]\u00a0to connect with the team behind Encord Active.\n\nAlso, feel free to [suggest improvements or report problems][report-issue] via github issues.\n\n## \ud83c\udf87 Contributions\n\nIf you're using Encord Active in your organization, please try to add your company name to the\u00a0[ADOPTERS.md][adopters]. It really helps the project to gain momentum and credibility. It's a small contribution back to the project with a big impact.\n\nIf you want to share your custom metrics or improve the tool, please see our\u00a0[contributing docs][contribute-url].\n\n### \ud83e\uddb8 Contributors\n\n<a href=\"https://github.com/encord-team/encord-active/graphs/contributors\">\n  <img src=\"https://contrib.rocks/image?repo=encord-team/encord-active\" />\n</a>\n\n[@Javi Leguina](https://github.com/jleguina)\n\n## Licence\n\nThis repository is published under the Apache 2.0 licence.\n\n[adopters]: https://github.com/encord-team/encord-active/blob/main/ADOPTERS.md\n[colab-notebook]: https://colab.research.google.com/drive/11iZE1CCFIGlkWdTmhf5XACDojtGeIRGS?usp=sharing\n[contribute-url]: https://encord-active-docs.web.app/contributing\n[encord-active-docs-init]: https://encord-active-docs.web.app/cli/initialising-project-from-image-directories\n[encord-active-docs-workflow-import-data]: https://encord-active-docs.web.app/workflows/import-data\n[encord-active-docs-workflow]: https://encord-active-docs.web.app/category/workflows\n[encord-active-docs-write-metric]: https://encord-active-docs.web.app/metrics/write-your-own\n[encord-active-docs]: https://encord-active-docs.web.app/\n[encord-active-landing]: https://encord.com/encord-active/\n[encord-docs-ssh]: https://docs.encord.com/admins/settings/public-keys/#set-up-public-key-authentication\n[join-slack]: https://join.slack.com/t/encordactive/shared_invite/zt-1hc2vqur9-Fzj1EEAHoqu91sZ0CX0A7Q\n[new-issue]: https://github.com/encord-team/encord-active/issues/new\n[pypi-package]: https://www.piwheels.org/project/encord-active/\n[python-39]: https://www.python.org/downloads/release/python-3915/\n[report-issue]: https://github.com/encord-team/data-quality-pocs/issues/new\n[slack-community]: https://encord-active.slack.com\n[twitter-url]: https://twitter.com/encord_team\n[colab-image]: https://colab.research.google.com/assets/colab-badge.svg\n[contribute-image]: https://img.shields.io/badge/PRs-welcome-blue.svg\n[docs-image]: https://img.shields.io/badge/docs-online-blue\n[license-image]: https://img.shields.io/github/license/encord-team/encord-active\n[pypi-package-image]: https://img.shields.io/pypi/v/encord-active\n[pypi-version-image]: https://img.shields.io/pypi/pyversions/encord-active\n[slack-image]: https://img.shields.io/badge/Slack-4A154B?logo=slack&logoColor=white\n[twitter-image]: https://img.shields.io/twitter/follow/encord_team?label=%40encord_team&style=social\n",
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