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The true value of Shaip cognitive data annotation and labeling services is that it gives organizations the key to unlock critical information found deep within unstructured data. This unstructured data can include physician notes, personal property insurance claims, or banking records. Through Shaip’s data annotation services, companies can develop Natural Language Processing (NLP) and can access domain-specific insights about this information to help drive everything from better medical care for patients to making sure insurance claims are paid correctly.
Common text-based services include:
100s of people available to start data annotating (Can be scaled to 1000s)
Web-based annotation platform (designed with PHI & PII in mind)
Extraction of concepts from any source of unstructured text in de-identified form
Highly customizable platform to tailor annotations for distinct use cases
Text data collection:
Textual conversations in 150+ languages (bot-human or human-to-human)
EHR data (inpatient/ outpatient)
Physician dictation transcripts
Documents (text collection)
Q&A creation
Text annotation:
NER annotation and relationship mapping
NLP text annotation
Content categorization
Key phrase analysis
Intent and sentiment analysis
Text classification
Speech
When clients speak about our speech annotation, what you hear are success stories. From day one, Shaip has been a leader in developing, training and improving conversational AI, chatbots and voicebots. Our state-of-the-art audio annotation services are made possible, in part, by a global network of qualified linguists and an experienced project management team who can collect hours of multilingual speech and annotate large volumes of data covering utterances, monologues, and two-speaker conversations (scripted or spontaneous). What they help you accomplish is training speech-enabled applications. We are also experienced with transcribing speech files to extract meaningful insights available in multiple audio formats.
Common speech-based services include:
Speech-to-text transcription
Speaker identification
Intent
Segmentation
Classification
Speech data collection:
Utterances or wake-up words
Monologue Speech Collection
Spontaneous conversations b/w 2 speakers
Scripted conversations b/w 2 speakers
Call center conversations
Speech recordings in 150+ languages
Speech annotation:
Speaker diarization
Background noise tagging (cough, laugh, music)
Speech segmentation
Time stamping
Filler words insertion
Transcription
Intent and sentiment analysis
Audio classification
Image
From smart cars and smart cities to improved smartphone cameras and security surveillance, image annotation is a specialty that Shaip excels for clients around the world. Using Shaip AI data, we can enhance your AI-enabled machines as they use computer vision to detect patterns with image training data.
Where others stop we keep going. We can help AI-enabled companies create training data sets and develop cutting-edge machine learning algorithms for any industry. In fact, our skilled workforce helps annotate images using a series of precise manual processes and high-end technology software to deliver image annotation faster so you can build your models quicker and more efficiently.
Add to this the advantage that Shaip can scale to thousands of people to manage any size database, including yours. No project is too big, or too small for us.
Common Image-based services include:
Point Annotation
Line Annotation
Bounding (Box, Polygon, Curved, Circle/Ellipse)
Pixel Perfect Segmentation
Semantic Segmentation
Classification
Image data collection:
Human facial images
Food Images
Document Images
Invoice/Bills Images
Medical Lab Images ( CT Scans, MRIs)
Geospatial Images
e-Commerce Data Catalog
Image annotation:
Facial landmark annotation
Points and lines
Pixel perfect segmentation
Semantic segmentation
Classification
Shadow masking
Video
Shaip can annotate video for machine learning applications used in robotics for improved manufacturing, autonomous driving cars and even enhancing a consumer’s buying experience. What we do best is accurately capture each object in a video, frame-by-frame. We take that moving object, annotate it, and make it recognizable for machine learning. We have the people, experience and the technology to help your team gain comprehensively labeled datasets to meet any video annotation requirement.
Common Video-based Services Include:
Object Tracking
Classification
Discovery
Video data collection:
Video tracking eye movement
Video of humans in multiple variations
Geospatial video
Custom video data collection
Video annotation:
Video labeling
Object tracking
Intent and sentiment analysis
Video classification
Track human activity and pose estimation
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Schedule a demo to learn how Shaip can meet all your training data requirements.