Annotator® AI-assisted annotation platform, ensuring quick delivery of high-quality labeled data.
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
Support video preview and grouping by time axis and picture frame.
Support video preview and grouping by time axis and picture frame.
Multilayer annotation for video, video censoring and filtering
Whole process AI-assisted annotaion and quality check
End-to-end pattern ensures safety of import and export of data
SaaS/Mirror/On-Premise
Easy to deploy, integrate, and operate
Easy to use and manage
On-demand use, scalable
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.