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Litia Kabechani

Litia Kabechani

Bounding Box Annotation Object Detection Image Segmentation

Zambia flagLuanshya, Zambia
$10.00/hrExpertAppenLionbridgeToloka

Key Skills

Software

AppenAppen
LionbridgeLionbridge
TolokaToloka
Don't disclose

Top Subject Matter

Text Classification and Named Entity Recognition (NER)
Self-driving car imagery
Data Cleaning and Data Augmentation

Top Data Types

DocumentDocument
ImageImage
TextText

Top Task Types

Bounding BoxBounding Box
Data CollectionData Collection
Object DetectionObject Detection
PolygonPolygon
Question AnsweringQuestion Answering

Freelancer Overview

I have experience in data labeling and AI training, particularly in the areas of text classification and named entity recognition (NER). My work has involved developing and refining annotation guidelines, ensuring data consistency and accuracy, and leveraging Python scripting to automate and streamline data preparation processes. Key projects have included annotating large-scale datasets for sentiment analysis and entity extraction, which have contributed to robust and reliable machine learning models in various domains such as customer feedback analysis and content categorization. I also have a strong background in data cleaning and augmentation, enabling me to enhance the quality and diversity of training datasets effectively. My ability to create clear annotation guidelines and utilize automation tools has consistently resulted in more efficient workflows and improved dataset quality. These skills, combined with my experience in handling diverse data types and applying best practices in data preparation, set me apart as a versatile and detail-oriented professional in the field of AI training and data labeling.

ExpertEnglish

Labeling Experience

Object Detection in Autonomous Driving

Don T DiscloseImageObject Detection
The project focuses on annotating image/video frames for the development of an object detection system used in autonomous driving technology. The goal is to create a high-quality datasets that will enable the training of models capable of accurately detecting and classifying objects in different driving scenarios. I annotate about 10,000 frames a week. I have clear guidelines for bounding box placement, object classification, and instance segmentation to ensure consistency and accuracy and there is a review process where annotated frames are checked by experienced reviewers for errors and inconsistencies. I am not certain of the entire size of the project as this information is not availed to me.

The project focuses on annotating image/video frames for the development of an object detection system used in autonomous driving technology. The goal is to create a high-quality datasets that will enable the training of models capable of accurately detecting and classifying objects in different driving scenarios. I annotate about 10,000 frames a week. I have clear guidelines for bounding box placement, object classification, and instance segmentation to ensure consistency and accuracy and there is a review process where annotated frames are checked by experienced reviewers for errors and inconsistencies. I am not certain of the entire size of the project as this information is not availed to me.

2019

Named Entity Recognition (NER) for News Articles

Don T DiscloseTextEntity Ner Classification
The particular job I worked varied from day to day but mainly involved project involved annotating a large collection of news articles to facilitate the development of a Named Entity Recognition (NER) system. The aim was to create a dataset where entities such as people, organizations, and locations were accurately identified and labeled, improving automated information extraction and indexing capabilities.

The particular job I worked varied from day to day but mainly involved project involved annotating a large collection of news articles to facilitate the development of a Named Entity Recognition (NER) system. The aim was to create a dataset where entities such as people, organizations, and locations were accurately identified and labeled, improving automated information extraction and indexing capabilities.

2022 - 2024

Education

D

Damelin University

B.com degree in Marketing and Business Management, Business Studies

B.com degree in Marketing and Business Management
2016 - 2020
U

University of Zambia

BSc of Science in Information Technology (BSc IT), Information Technology

BSc of Science in Information Technology (BSc IT)
2010 - 2014

Work History

P

Prudential Life Assurance

Customer Service Professional

Nairobi
2017 - 2020
S

Sky TV

Customer Service Professional

Portsmouth
2015 - 2016