Annotator® 6.0 platform
Annotator® AI-assisted annotation platform, ensuring quick delivery of high-quality labeled data.
Get DemoMulti-Modal Annotation Platform
Audio Annotation
Text Annotation
Image Annotation
Video Annotation
Voice activity timestamps of speakers and noise
Precise transcription of segmented audio
Audio Tagging: human noise, non-human noise, machine noise...
Filter out violence, PII, ads and other sensitive information
Whole process AI-assisted annotaion and quality check
Text classification, relevance score, text censoring tagging
Query generalization, collection, synonymic sentences drafting, and knowledge base construction in multiple domains
Named entity extraction, event extraction, abstract...
Sentiment analysis on paragraph and sentences, entity relation annotation
Multiple facets intent annotation, slot filing and classification
Annotation for Facial Landmark Detection, Hand Gesture Recognition, and Human Pose Estimation
Target object, license plate, number plate, human body, vehicle bounding box annotation
Target object, license plate, number plate, human body, vehicle semantic annotation
Image data extraction and transcription
Whole process AI-assisted annotaion and quality check
Safe and Secure
End-to-end pattern ensures safety of import and export of data
Convenient and Adaptable
SaaS/Mirror/On-Premise
Easy to deploy, integrate, and operate
Savings and Efficiency
Easy to use and manage
On-demand use, scalable
Deployment Pattern
Choose the most suitable one
SaaS
Personal Use
- Low sensitivity data
- Off-shore data
- Audio/text/image data annotation
- Ready-to-use
- User-friendly
- 10GB storage
SaaS/mirror
Essential
- Medium/high sensitivity data
- Off-shore/on shore data
- Audio/text/image/video multi-modal data annotation
- Ready-to-use, on-demand
- Standardized project management
- Team management
- Project management
- Built-in ML model
On-premise
Enterprise
- High sensitivity data
- Onshore data
- Audio/text/image/video multi-modal data annotation
- Customized project modules
- Team management
- Project management
- Built-in ML model
Client Experiences
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Scenario-oriented multimodal annotation is implemented on Annotator data annotation platform. In our automated invoice processing system, we smooth the process and build a robust Data Pipeline by connecting the image and natural language processing annotation modules in the platform. Benefiting from the scalability of Annotator, we couple our own pre-recognition models into the platform, which greatly improves the efficiency of annotation.