Image, Video, Text and Audio Annotation & Labeling
Image Labeling
Bounding Boxes
3D Cuboids
Polygons
Lines & Splines
Instance/Semantic/Panoptic Segmentation
Landmark Annotation
Video Annotations
2D/3D Bounding Boxes
Polygons
Landmark/Key point/Skeletal Annotation
Tracking
Polylines
Text Annotation
Sentiment Annotation
Linguistic Annotation
Text Classification
Entity Annotation
Entity Linking
Audio Annotation
Sound Labeling
Event Tracking
Speech to Text Transcription
Audio Classification
Applicability across wide range of verticals Retail, Automotive, Healthcare, BFSI, Manufacturing, Enterprise, Governance etc.
Retail
Healthcare
Finance
Automotive
Manufacturing
Governance
We work on Enterprise platforms as well as our in-house platform to perform a versatile range of work from Labelling to Ground Truth Dataset creation.
ANNOTATION
Perform quality annotation of all forms of Data, Image, Video and Text, to produce ground truth dataset
Annotate the Core Data and related Characteristics and Attributes.
Enrich Data Dictionary
RECOGNITION
Train the model with quality data set to ensure accurate recognition of Objects (Static or Moving), Image, Products, Location etc.
Increment Model Accuracy with manual validation.
SEGMENTATION
Reduce noise by segmenting the required data from a complex image to ensure availability of relevant dataset.
Label complex images pixel-by-pixel level granularity to generate pre-determined object classes and produce meaningful information
TRANSCRIPTION
Image Transcription and Optical Character Recognition (OCR), ICR and integrated established machine learning models to ensure accuracy
Support for Structured or Unstructured Text Decoding with Manual touch points.
COMPARISON
Perform scalable comparison and de-duplication to ensure good quality and unique annotations, segmentations are available, noise is filtered and redundancy is reduced.
Aids in ground truth dataset production for model training and validation
CLASSIFICATION
Perform tagging of Images, Objects (Static or Moving), Text, Content Moderation to categorize it pre-defined product categories
High volume of dataset classified through manual tagging and automated recognition engine.
A typical cycle of Data Curation and Enrichment in AI and Machine Learning is as below. Human in the loop and Human Intelligence play a vital role in the journey to verify, validate and fix issues in model outcome so that further efficiency and improvisation can be achieved.
English
Chinese (Simplified)
German
Japanese
Korean