Product Update: July 2025

Our July 2025 update bring lots of improvement in image and video annotation experience, software latency and some new features. These changes will help you work faster, stay organized, and get more done.

Advanced File Search & Filtering

We've significantly enhanced our file search capabilities with powerful new filtering options:

Smart Content Filtering: You can now filter files based on the objects detected within images - whether you're looking for cars, bikes, people, or any other specific objects in your dataset.

User Activity Tracking: Filter files by the last user who updated them, providing better visibility into team collaboration and work distribution.

Classification & Attribute Filters: Enhanced filtering by classifications and custom attributes, making it easier to locate specific file types based on your annotation schema.

Advanced Combination Logic: Mix and match multiple filter criteria to create sophisticated search queries that precisely target the files you need.

Polyline Annotations (NEW)

Polyline Annotation

We're excited to introduce polyline annotations - a new annotation type that expands your labeling capabilities:

Versatile Use Cases: Perfect for annotating linear features like:

• Road lanes and traffic paths
• Power lines and cables
• Boundary lines and fences
• Sequential workflows or processes

Enhanced Functionality:

• Add custom attributes directly to polyline annotations for richer data capture
• Create smooth curves for more natural and precise representations
• Maintain full compatibility with existing annotation workflows

Annotated File Similarity

Annotated File Similarity

Intelligent Duplicate Detection: Click the magnifying glass icon in the right panel of the labeling screen to check if your current file is similar to previously annotated files.

Adjustable Similarity Threshold: Fine-tune the similarity index to match your exact requirements - from loose similarity detection to precise duplicate identification.

Workflow Optimization: Reduce redundant annotation work by leveraging existing labels from similar files.

Dataset Management Improvements

Flexible Dataset Operations: We've streamlined dataset deletion and detachment with intelligent workflow awareness:

Direct Deletion: Delete datasets that aren't attached to any projects instantly.

Smart Detachment: For datasets attached to projects but with unlabeled files, easily detach and delete through the improved interface.

Work-in-Progress Handling: For datasets in progress or review stages, reassign files to "unlabeled" status via the three-dot menu, then detach and delete as needed.

Classification Enhancements

Remarks Support: Add detailed remarks to classification questions, providing additional context and guidance for your annotation team.

These updates continue our commitment to providing powerful, flexible annotation tools that scale with your project needs.

Each feature has been designed to reduce manual work while increasing the precision and efficiency of your labeling workflows.

Conclusion

These updates make it easier, faster, and more accurate to work with your datasets. You can now search files with smarter filters, use polyline annotations for more labeling options, and manage datasets with less effort.

The new tools help your team find what they need quickly, avoid repeating work, and add better details to annotations. With these changes, your team can work faster, work together better, and deliver high‑quality results.