3D Point cloud Image Annotation Video Annotation OCR |
Through the self-developed 3D annotation tool, the 3D information collected by laser measurement is drawn into a high-precision 3Dmodel.
· 3D Object Detection
· 3D Object Tracking
· 3D Object Segmentation
· 3D Object Point Cloud
Fast processing of graphic image files to structured text files with key points, line segments and bounding box tools.
· Semantic Segmentation
· Instance Segmentation
· Object Detection
· Image Classification
· Key Point Annotation
Customized annotation tools can easily track and annotate the target objects in the video and classify and extract them.
· Video Classification
· Point Cloud Annotation
· Object Detection
· Video information extraction
Support all types translation of Chinese, English and various small languages, to achieve high efficiency and high accuracy OCR annotation tasks.
· Chinese Transfer
· English Transfer
· Tibetan Transfer
· Minority Languages Transfer
Image Annotation Service
Text Annotation Service
Emotion Judgment
Judge the emotions expressed in the text and classify the positive and negative texts
Text Classification
Select and classify the text data
POS
Annotate the characteristic word,
such as nouns, verbs, adjectives, etc
Text Enrichment
Describe the text around the topic, and the expression should be rich and realistic
Intent Judgment
The semantic intent is determined by classifying the sentences into different types of intent, and the semantic intent is determined by single intention or multiple intention.
Info extraction
Text structured processing. Categorizing and labeling the
information contained in the text.
NLP
Annotate text syntax, including slot extraction and text
relationships, etc
Intelligent Q&A
Multiple answers to the given questions form a huge question-and-answer data dialogue
Phonetic Transcription
According to the audio content translated into the corresponding text, usually used for speech recognition model training, can support Mandarin, English and other language
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Phonetic Classification
Through classification and manual monitoring, the audio is selected for speech recognition model training.
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Emotion Judgment
The audio is monitored and the emotional state of the speaker is labeled, which is often used in speech recognition and synthesis technology.
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Phonetic Segments
Speech segmentation is used to monitor the long audio and label the starting point and ending point for speech recognition model training.
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Voice Annotation Service
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