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--- |
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title: Kumar |
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emoji: 🟧 |
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colorFrom: yellow |
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colorTo: purple |
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sdk: docker |
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tags: |
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- label-studio |
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fullwidth: true |
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license: apache-2.0 |
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app_port: 8080 |
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--- |
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<img src="https://user-images.githubusercontent.com/12534576/192582340-4c9e4401-1fe6-4dbb-95bb-fdbba5493f61.png"/> |
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[Website](https://hubs.ly/Q01CNgsd0) • [Docs](https://hubs.ly/Q01CN9Yq0) • [12K+ GitHub ⭐️!](https://hubs.ly/Q01CNbPQ0) • [Slack Community](https://hubs.ly/Q01CNb9H0) |
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## What is Label Studio? |
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Label Studio is an open source data labeling platform. It lets you label audio, |
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text, images, videos, and time series data with a simple, straightforward, and |
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highly-configurable user interface. Label Studio can prepare new data or |
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improve existing training data to get more accurate ML models. |
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## Label Studio in Hugging Face Spaces |
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The Label Studio community is thrilled to offer Label Studio as a Hugging Face |
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Spaces application. You can try the data-annotation interface, connect popular |
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machine learning models, and share the application with collaborators. You can |
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start immediately by creating an account or replicate the space and work in |
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your own environment. |
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## Creating a Use Account and Logging In |
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Begin by creating a new account in the Label Studio space, then log in with your |
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credentials. |
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**By default, these spaces permit anyone to create a new login |
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account, allowing them to view and modify project configuration, data sets, and |
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annotations. Without any modifications, treat this space like a demo environment.** |
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## Creating a Labeling Project |
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After logging in, Label Studio will present you with a project view. Here you |
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can create a new project with prompts to upload data and set up a custom |
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configuration interface. |
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**Note that in the default configuration, storage is local and temporary. Any |
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projects, annotations, and configurations will be lost if the space is restarted.** |
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## Next Steps and Additional Resources |
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To help with getting started, the Label Studio community curated a list of |
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resources including tutorials and documentation. |
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- 🚀 [Zero to One with Label Studio Tutorial](https://labelstud.io/blog/introduction-to-label-studio-in-hugging-face-spaces/) |
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- 📈 [Try Label Studio Enterprise](https://hubs.ly/Q01CMLll0) |
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- 🤗 [Tutorial: Using Label Studio with Hugging Face Datasets Hub](https://danielvanstrien.xyz/huggingface/huggingface-datasets/annotation/full%20stack%20deep%20learning%20notes/2022/09/07/label-studio-annotations-hub.html) |
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- 💡 [Label Studio Docs](https://hubs.ly/Q01CN9Yq0) |
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### Making your Label Studio Hugging Face Space production-ready |
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By default this space allows for the unrestricted creation of new accounts |
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will full access to all projects and data. This is great for trying out |
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Label Studio and collaborating on projects, but you may want to restrict |
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access to your space to only authorized users. Add the following environment |
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variable to your spaces Dockerfile to disable public account creation for |
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this space. |
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ENV LABEL_STUDIO_DISABLE_SIGNUP_WITHOUT_LINK=true |
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Set secrets in your space to create an inital user, and log in with your |
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provided username and password. Do not set these in your Dockerfile, as they |
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globally visible on a public space. |
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LABEL_STUDIO_USERNAME |
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LABEL_STUDIO_PASSWORD |
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You will need to provide new users with an invitation link to join the space, |
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which can be found in the Organizations interface of Label Studio. |
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By default this space stores all project configuration and data annotations |
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in local storage with Sqlite. If the space is reset, all configuration and |
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annotation data in the space will be lost. You can enable configuration |
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persistence in one of two ways: |
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1. Enabling Persistent Storage in your Space settings and configuring Label |
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Studio to write its database and task storage there. |
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2. Connecting an external Postgres database and cloud storage to your space, |
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guaranteeing that all project and annotation settings are preserved. |
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### Enabling Hugging Face Persistent Storage |
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In the Hugging Face Label Studio Space settings, select the appropriate |
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Persistent Storage tier. Note that Persistent Storage is a paid add-on. |
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By default, persistent storage is mounted to /data. In your Space settings, |
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set the following variables: |
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LABEL_STUDIO_BASE_DATA_DIR=/data |
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ENV STORAGE_PERSISTENCE=1 |
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Your space will restart. NOTE: if you have existing settings and data, |
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they will be lost in this first restart. Data and setting will only be |
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preserved on subsequent restarts of the space. |
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### Enabling Postgres Database and Cloud Storage |
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Set the following secret variables to match your own hosted instance of |
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Postgres. We strongly recommend setting these as secrets to prevent leaking |
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information about your database service to the public in your spaces |
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definition. |
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DJANGO_DB=default |
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POSTGRE_NAME=<postgres_name> |
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POSTGRE_PORT=<db_port> |
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POSTGRE_USER=<postgres_user> |
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POSTGRE_PASSWORD=<password> |
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POSTGRE_PORT=<db_port> |
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POSTGRE_HOST=<db_host> |
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Add the following environment variable to remove the warning about ephemeral |
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storage. |
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ENV STORAGE_PERSISTENCE=1 |
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Note that you will need to connect cloud storage to host data items that you |
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want to annotate, as local storage will not be preserved across a space reset. |
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By default the only data storage enabled for this space is local. In the case |
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of a space reset, all data will be lost. To enable permanent storage, you |
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must enable a cloud storage connector. We also strongly recommend enabling |
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configuration persistence to preserve project data, annotations, and user |
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settings. Choose the appropriate cloud connector and configure the secrets |
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for it. |
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#### Amazon S3 |
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STORAGE_TYPE=s3 |
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STORAGE_AWS_ACCESS_KEY_ID="<YOUR_ACCESS_KEY_ID>" |
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STORAGE_AWS_SECRET_ACCESS_KEY="<YOUR_SECRET_ACCESS_KEY>" |
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STORAGE_AWS_BUCKET_NAME="<YOUR_BUCKET_NAME>" |
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STORAGE_AWS_REGION_NAME="<YOUR_BUCKET_REGION>" |
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STORAGE_AWS_FOLDER="" |
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#### Google Cloud Storage |
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STORAGE_TYPE=gcs |
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STORAGE_GCS_BUCKET_NAME="<YOUR_BUCKET_NAME>" |
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STORAGE_GCS_PROJECT_ID="<YOUR_PROJECT_ID>" |
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STORAGE_GCS_FOLDER="" |
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GOOGLE_APPLICATION_CREDENTIALS="/opt/heartex/secrets/key.json" |
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Azure Blob Storage |
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================== |
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STORAGE_TYPE=azure |
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STORAGE_AZURE_ACCOUNT_NAME="<YOUR_STORAGE_ACCOUNT>" |
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STORAGE_AZURE_ACCOUNT_KEY="<YOUR_STORAGE_KEY>" |
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STORAGE_AZURE_CONTAINER_NAME="<YOUR_CONTAINER_NAME>" |
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STORAGE_AZURE_FOLDER="" |
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## Questions? Concerns? Want to get involved? |
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Email the community team at [community@labelstud.io](mailto:community@labelstud.io) |
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