Services

Data Annotation, Pre-processing, Analytics

Data Annotation, Pre-processing, Analytics

    • Data Pre-processing: Handling the initial processing of raw data to prepare it for further analysis. This includes data cleaning, normalisation, transformation, and feature extraction, ensuring the data is in an optimal format for analysis and annotation.

    • Data Annotation and Labelling: Providing detailed and accurate labelling of various data types to enable effective machine learning. This encompasses:

        • Image Annotation: For object detection/segmentation and image classification.

        • Text Annotation: For Named Entity Recognition (NER) and Sentiment Analysis.

        • Audio Annotation: Including transcription and emotion annotation in spoken language.

        • Video Annotation: Covering object tracking and action recognition in video content.

    • Data Validation: Verifying the accuracy and consistency of annotated data, crucial for building reliable machine learning models.

    • Data Analytics: Utilising advanced analytical tools and methodologies to extract meaningful insights from processed and annotated data. This includes predictive modelling, statistical analysis, and data visualisation to support decision-making and provide actionable insights.

    • Text annotation: Text annotation is conducted for processes such as Named Entity Recognition (NER) which involves identifying and classifying entities, and also for Sentiment Analysis which incorporates labelling text data with unique sentiments.

    • Audio annotation: Audio annotation usually involves transcription which is the process of converting spoken words into written text. Emotion annotation is another process that is a part of audio annotation. It involves tagging emotions expressed in spoken language.

    • Data validation: The data validation process is completed to check and verify the accuracy and consistency of annotations made to piece of data.

  • Video Annotation: Video annotation includes a multitude of different processes such as object tracking which involves following and labelling the movement of objects within video frames, and action recognition which involves labelling and categorising different actions in video content.