AI-Assisted Annotation Tools
Speed up annotation with AI-powered features like auto-caption generation and phrase highlighting.
AI-assisted annotation tools help you create high-quality training data faster by automatically generating captions and suggesting phrase-box linkings. Datature Vi's IntelliScribe features accelerate the annotation process while maintaining accuracy.
Part of annotation workflowUpload images → Use AI-assisted tools (you are here) → Annotate → Train model
Prerequisites
- A dataset with uploaded images
- Understanding of phrase grounding annotation workflow
- Access to the Datature Vi annotator
- Familiarity with annotation concepts
IntelliScribe features
For phrase grounding
AI automatically generates descriptive captions for your images, identifying key objects and their attributes
AI automatically links phrases in your caption to drawn bounding boxes, saving time on manual linking
Learn how to use IntelliScribe →
Benefits
3-5× faster annotation
AI assistance dramatically speeds up annotation:
- No need to manually type captions
- Automatic phrase-to-box linking
- Reduce repetitive tasks
- Focus on review and refinement
Time savings example:
- Manual annotation: 2-3 minutes per image
- With IntelliScribe: 30-45 seconds per image
Consistent terminology
AI uses standardized language:
- Consistent object naming
- Standard color descriptions
- Regular spatial terms
- Professional terminology
This consistency improves model training quality.
Quality and accuracy
While AI-generated suggestions are good starting points:
- Always review AI suggestions
- Edit for domain-specific terms
- Verify accuracy for your use case
- Refine for maximum quality
How to use IntelliScribe
Step 1: Generate caption
When annotating for phrase grounding:
- Load an image in the annotator
- Press C or click IntelliScribe Caption
- AI analyzes the image and generates a descriptive caption
- Review and edit the caption as needed (press T for text tool)
Step 2: Draw bounding boxes
- Press R for rectangle tool
- Draw bounding boxes around objects mentioned in the caption
- Create boxes for all key objects
Step 3: Auto-link phrases
- Press P or click IntelliScribe Phrases
- AI automatically highlights phrases and links them to your boxes
- Review the links - adjust if needed
- Press E to move to the next image
Complete phrase grounding guide →
Best practices
Always verify AI-generated content for accuracy and domain-specificity
Customize terminology for industry-specific needs
Use AI for speed, manual editing for precision
Provide feedback loop to refine approach
When to use AI assistance
Ideal scenarios
✅ Large datasets — Hundreds or thousands of images to annotate ✅ Common objects — Standard items like vehicles, people, products ✅ Tight deadlines — Need to complete annotation quickly ✅ Initial labeling — Get started fast, refine later ✅ Team consistency — Maintain standardized terminology
When manual annotation is better
❌ Highly specialized domains — Medical, scientific, or niche industries ❌ Custom terminology — Specific jargon or proprietary terms ❌ Complex relationships — Intricate spatial or logical relationships ❌ Small datasets — Under 50 images where manual is just as fast ❌ Maximum precision — Critical applications requiring perfect accuracy
Comparison: Manual vs AI-assisted
| Manual annotation | AI-assisted | Best for | |
|---|---|---|---|
| Speed | Slower (2-3 min/image) | Faster (30-45 sec/image) | AI wins |
| Accuracy | Depends on annotator | Good + requires review | Tie (both need review) |
| Consistency | Varies by person | High consistency | AI wins |
| Domain terms | Perfect for specialized | Needs editing | Manual wins |
| Learning curve | Moderate | Low | AI wins |
| Cost | Time-intensive | Time-efficient | AI wins |
Recommendation: Use AI-assisted tools for speed, then manually refine for domain accuracy.
Troubleshooting
IntelliScribe not generating captions
Potential causes:
- Network connectivity issues
- Image loading problems
- Service temporary unavailability
Solutions:
- Check internet connection
- Refresh the page and try again
- Try with a different image
- Contact support if persistent
Generated captions are inaccurate
This is expected behavior:
- AI provides suggestions, not perfect annotations
- Review and edit all generated content
- Customize for your domain
- Add missing details manually
Remember: AI accelerates the process, human review ensures quality.
Phrase links are incorrect
Solutions:
- Delete incorrect links (press D, click phrase)
- Manually highlight correct phrases (press H)
- Draw new boxes if needed (press R)
- Edit caption for clarity (press T)
Advanced tips
Optimize AI suggestions
- Use high-quality images — Clear, well-lit photos produce better captions
- Standard views — Front-facing, standard angles work best
- Minimal clutter — Less background noise improves object detection
- Good resolution — Higher resolution images yield more detailed captions
Workflow efficiency
- Batch similar images — Process similar images together for consistency
- keyboard shortcuts — Master shortcuts for speed (C, P, R, H, T, E)
- Review in batches — Generate AI captions for multiple images, then review all
- Create templates — Save common phrasing patterns for your domain
Keyboard shortcuts reference →
Next steps
Use IntelliScribe for phrase grounding annotations
Create visual question answering annotations
Import existing annotations from other tools
Check annotation progress and quality
Use your annotations for VLM training
Organize and maintain your datasets
Related resources
- Annotate data — Overview of annotation workflows
- Annotate for phrase grounding — Complete phrase grounding guide
- Annotate for VQA — VQA annotation guide
- Phrase grounding concepts — Learn about phrase grounding
- Upload data — Add images to datasets
- Create a dataset — Set up datasets for annotation
- Upload annotations — Import existing annotations
- View dataset insights — Check annotation progress
- Train a model — Use annotations for VLM training
- Manage datasets — Organize and maintain datasets
- Quickstart — End-to-end workflow tutorial
Need help?
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Updated about 1 month ago
