Active deprecations

This section lists all products and features which are currently in a deprecation period.

Reporting (AKA Enterprise Dashboard)

In February 2025, we are sunsetting the Reporting page (AKA Enterprise Dashboard) for all customers. The new Monitor tab offers all of the same metrics and filters (plus more). Unlike the Reporting page, the Monitor is a native solution that is built into the Labelbox platform, so it offers a more seamless and robust user experience. To learn more, read this guide.

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Completed deprecations

This section lists all products and features which have been decommissioned. These products and features are no longer available.

DICOM editor

Due to a lack of usage, we sunsetted the DICOM editor on November 25, 2024.

YOLO models in Foundry

On November 7th 2024, Labelbox disabled YOLO models in Foundry due to a lack of usage. Foundry still supports other object detection and segmentation model alternatives (OWL-ViT, Rekognition, GroundingDINO, GroundingDINO + SAM). If you would like to set up your own YOLO model for inferencing, refer to our custom model integration docs.

Fine-tuning

On November 7th 2024, Labelbox disabled the model fine-tuning feature. This means that image fine-tuning is no longer usable. We may re-enable the fine-tuning feature in the future.

Export V1

In early September, we disabled Export v1 for all remaining customers. All users should use the export() method instead.

Data connector libraries

All data connector libraries, including labelbase, labelspark, labelpandas, labelsnow, and labelbox-bigquery libraries, have been publicly archived and are no longer maintained. To import data from remote sources such as Databricks and Snowflake, set up Census integrations directly on the Labelbox platform.

Custom editor

We sunsetted the custom editor for all customers on June 30, 2024. Custom editor projects and their associated labels are no longer accessible. Please use one of our native labeling editors instead.

Dropdown schema

Dropdown is a deprecated classification type (the other classification types are radio, checklist, and free-form text). Labelbox implemented a UI solution that provides a dropdown view for radio and checklist classifications. Therefore, we removed the capability to add the dropdown schema to new ontologies.

We recommend using radio or checklist classifications and selecting the dropdown toggle instead (see image below).

Labels tab

Prior to the rollout of the Data Rows tab, the Labels tab was a dashboard view in Annotate. The Labels tab was replaced by the Data Rows tab as part of the shift to our new data row-centric paradigm.

Effective August 2023, no more customers are using the Labels tab.

Review step

Prior to the rollout of Workflows, the review step was the mechanism for reviewing labels in Annotate. The review step was replaced by Workflows in order to offer more flexibility in customizing the review flow for labeling tasks.

Effective August 2023, no more customers are using the Review step.

Dataset-based queueing

Prior to the rollout of batch-based queueing, the only way to send data rows to a labeling project was by sending the entire dataset. This was replaced by batch-based queueing to enable customers to send a curated subset of data rows across multiple data rows to a labeling project.

Effective August 2023, no more customers are using dataset-based queueing.

On-prem

At the end of 2022, Labelbox decided to sunset our on-premise offering. All customers are encouraged to use our SaaS product instead.

As of August 2023, no more customers are using the Labelbox on-prem offering.

Superpixel

In 2023, Labelbox released the auto-segment tool, which replaced the Superpixel feature. Auto-segment is embedded into the segmentation mask tool. You can use it to auto-generate segmentation masks.

As of January 2023, no more customers are using the Superpixel feature.