Esther Ekejiuba

Key Skills

Software

Appen

Clickworker

CVAT

Data Annotation Tech

Labelbox

OneForma

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Label Types

Classification

Data Collection

Evaluation Rating

Segmentation

Text Generation

Freelancer Overview

With over 2 years of dedicated experience in data annotation and image labeling, I have a proven track record of consistently delivering top-tier results. I have annotated a diverse range of data, from images of cars,video data collection, and structures to audio clips of music and sounds, Images classification. In addition to visual data, I excel in text annotation, including review analysis, product classification, categorization of articles, claims, tweets, and URLs. Whether you need precise categorization or nuanced interpretation, I bring clarity and consistency to your text data. I have strong expertise in data annotation tools including Labelbox, CVAT, and Amazon Mechanical Turk. Proficient in annotation standards like PASCAL, VOC and YOLO. As a detail-oriented and motivated professional, I am quick to grasp new techniques, always staying updated with the latest trends in data annotation Your satisfaction is my top priority. I work closely with you to understand your annotation guidelines, ask pertinent questions, and ensure that your project is delivered to your exact specifications. I have successfully collaborated with startups, large enterprises, and solopreneurs across diverse industries, adapting to their unique needs and delivering top-quality results.

Labeling Experience

Rovelle - Dog Image Collection

AppenImageObject DetectionData Collection

Helped to create an AI technology that empowers pet owners to determine the ideal portion sizes for their dogs, promoting better health and well-being! In this phase of the project, I focused on gathering images of dogs with specific body types—those who are overweight or underweight. By collecting these images, I helped develop a tool that ensures every dog receives the right amount of food tailored to their unique needs. In this project I: Provided two images of dogs. One from above and one from the side. Include details: weight (in kilograms), breed, age, and body

Helped to create an AI technology that empowers pet owners to determine the ideal portion sizes for their dogs, promoting better health and well-being! In this phase of the project, I focused on gathering images of dogs with specific body types—those who are overweight or underweight. By collecting these images, I helped develop a tool that ensures every dog receives the right amount of food tailored to their unique needs. In this project I: Provided two images of dogs. One from above and one from the side. Include details: weight (in kilograms), breed, age, and body

2024

Obersee Object Video collection

AppenVideoData Collection

I helped an advance AI-powered object recognition technology with Project Obersee! Task I recorded a three-dimensional (3D) video of an available object from the provided list, capturing every visible surface. Additionally, include a brief description of the object's physical appearance in at least 15 words. Example Objects: microwave oven, vase, broom, chair, and more.

I helped an advance AI-powered object recognition technology with Project Obersee! Task I recorded a three-dimensional (3D) video of an available object from the provided list, capturing every visible surface. Additionally, include a brief description of the object's physical appearance in at least 15 words. Example Objects: microwave oven, vase, broom, chair, and more.

2024 - 2024

Education

Work History