Data Annotation | IA | Machine Learning - be ys Outsourcing Services

DATA ANNOTATION & IA

STRENGTHENING AI THROUGH DATA LABELING AND ANNOTATION BY EXPERTS

Accueil > Data Annotation | IA | Machine Learning

Data annotation plays a crucial role in the development of artificial intelligence (AI) models. It involves the process of labeling or tagging raw data to make it understandable for machine learning algorithms. Annotated data serves as a training set for AI models, enabling them to learn to perform specific tasks.

be ys outsourcing services provides you with teams of qualified Data Annotators and Labelers to annotate, label, segment, and enrich all types of content in various formats, enabling the development of functional artificial intelligence solutions.

TYPES OF ANNOTATION PROCESSING PERFORMED BY OUR TEAMS

Data can be annotated in various ways depending on the task at hand.

COMPUTER VISION

For computer vision, annotations include:

Object detection (bounding boxes, polygon annotation): Locating and identifying specific objects in an image or video and drawing bounding boxes around them.
Semantic segmentation: Segmenting images into components and annotating them by our data labelers. Our experts detect desired objects in images at the pixel level.
Facial recognition: Verifying and correcting the identity of individuals from images or videos in case of doubts from the facial recognition tool.
Video processing: Involves tasks such as object detection in motion, object tracking, action recognition, etc.
Manual segmentation and annotation of 3D point clouds (LIDAR)

NATURAL LANGUAGE PROCESSING (NLP)

Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on understanding and manipulating human language by machines.

For natural language processing (NLP), annotations include:

Lexical and syntactic analysis: Analyzing the grammatical structure and meaning of sentences: segmenting sentences into words (tokenization), grammatical tagging (part-of-speech tagging), syntactic analysis (parsing).
Information extraction: Extracting relationships between entities, facts extraction, sentiment extraction, etc.
Text classification, etc.

CHATBOTS AND VIRTUAL ASSISTANTS

Chatbots and virtual assistants use NLP techniques to understand and respond to user questions conversationally.

This involves manual tasks necessary to train AI such as:

Natural language understanding
Response generation
Conversational dialogue, etc.

THE CHALLENGES

SOME BYOS FIGURES

50 à 80%
time saved for Data Scientists

500 000 000
pages processed per year

4
geographical areas

About

Our solutions

Your sector of activity

TYPES OF ANNOTATION PROCESSING PERFORMED BY OUR TEAMS

COMPUTER VISION

NATURAL LANGUAGE PROCESSING (NLP)

CHATBOTS AND VIRTUAL ASSISTANTS

THE CHALLENGES

SOME BYOS FIGURES

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