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2025 RELEASES

Unitlab product updates released in 2025.

v1.2.6 — NIfTI, medical releases, and reliable augmentation

Features

  • Added NIfTI support, medical thumbnails and releases, medical usage quotas, frame metadata, and medical result handling.

  • Added resumable and idempotent dataset augmentation with RabbitMQ-backed workers and safer task recovery.

  • Expanded HubSpot lead and meeting integration.

Fixes

  • Corrected rotation, crop, flip, and resize transforms across boxes, polygons, lines, points, skeletons, and segmentation masks.

  • Reduced worker crashes and memory pressure, and corrected augmented release thumbnails, split progress, and image-extension handling.

v1.2.5 — Dataset augmentation, Gemini, and dynamic uploads

Features

  • Added image dataset augmentation, Gemini model support, dynamic SDK upload validation, dataset class/status/history fields, and augmentation version progress.

Fixes

  • Improved N+1 queries, subscription quota checks, split-ratio handling, thumbnails, task progress, invalid text encoding, and SDK context handling.

v1.2.4 — Audio models, dynamic assignment, and dataset splits

Features

  • Added audio AI-model integration, dynamic reviewer assignment, batch upload counts, data tags, dataset splits, SDK split support, and tunnel-managed model endpoints.

  • Expanded review of rejected data and dataset filtering by generic type and workflow status.

Fixes

  • Corrected review and annotation status transitions, dataset clone inclusion, empty-result checks, text filtering, action validation, and history-preview queries.

v1.2.3 — Medical annotation and workspace-wide automation

Features

  • Added DICOM medical annotation, multi-frame extraction, medical SAM encoding, medical upload limits, and dynamic medical scaling.

  • Redesigned automation flows for workspace use, added reviewer flow updates, audio AI/STT integration, and generic-type filtering.

  • Added HubSpot CRM integration and improved model suitability by annotation type.

Fixes

  • Corrected audio review, text assignment, attribute errors, duplicate querysets, timeouts, and Sentry diagnostics.

v1.2.2 — Text annotation and collaborative notifications

Features

  • Added the start-annotating flow for text data and allowed text releases without class requirements.

  • Added comment notifications for project creators, labelers, and reviewers, with source-file context.

Fixes

  • Improved dynamic AI-model upload logging and removed obsolete dataset-creation checks.

v1.2.1 — Multi-AI flows and class lifecycle management

Features

  • Added multi-model AI flows, flow assignment to existing projects, dynamic model parameters, dataset tags, batch auto-labeling, and richer SDK/CLI behavior.

  • Added class deletion/restoration, history-result updates, centralized result merging, and model-class lifecycle controls.

Fixes

  • Corrected release creation, dataset cloning, class IDs, project deletion, result merging, date filters, and N+1 queries.

v1.2.0 — Tags, reassignment, and safer class management

Features

  • Added class edit/delete/bulk-restore, datasource tags and tag filters, selected-item reassignment, pending-upload counts, and class occurrence counts.

  • Simplified project creation and dataset cloning while preserving source tags and metadata.

Fixes

  • Corrected class defaults and clone behavior, member project visibility, authentication paths, deleted-class rendering, and Auto Crop error reporting.

Continue with Unitlab: enterprise data annotation workflows · computer-vision image labeling · training-data curation workflows

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