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Antony Muriithi

Antony Muriithi

AI Data Annotator & Search Evaluation Specialist – Computer Vision, Transport & E-commerce

Kenya flagRUIRU, Kenya
$7.00/hrExpertTolokaOneformaMindrift

Key Skills

Software

TolokaToloka
OneFormaOneForma
MindriftMindrift
Label StudioLabel Studio
LabelboxLabelbox
Figure EightFigure Eight
ClickworkerClickworker
CloudFactoryCloudFactory
CrowdFlowerCrowdFlower
CrowdSourceCrowdSource
AppenAppen

Top Subject Matter

Transport – Autonomous Driving, Road & Vehicle Annotation
E-commerce – Product Categorization & Data Collection
Technology – Search Engine Evaluation & AI Training Data

Top Data Types

ImageImage
TextText
VideoVideo

Top Task Types

Bounding BoxBounding Box
PolygonPolygon
ClassificationClassification
Object DetectionObject Detection
Evaluation/RatingEvaluation/Rating
Data CollectionData Collection
SegmentationSegmentation
Text GenerationText Generation
Question AnsweringQuestion Answering
CuboidCuboid
Text SummarizationText Summarization
TranscriptionTranscription

Freelancer Overview

I have practical experience in AI training and data annotation using several platforms like Toloka, Remotasks, UHRS, Appen, and Luel. I have worked on tasks such as image annotation, video annotation, data collection, text categorization, audio, and search engine evaluation which are very detail-oriented and require high accuracy. I know how to label objects, categorize visual data, and evaluate content relevance according to set guidelines. These jobs enabled me to handle large amounts of data efficiently without compromising on consistency and quality. Besides, I possess excellent reasoning skills which help me understand and implement task requirements effectively even in the absence of clear data. Also, my search engine evaluation experience has enhanced my decision-making skills when it comes to assessing content quality, user intent, and overall relevance.

ExpertEnglishSwahili

Labeling Experience

Image Categorization & Data Collection

ImageClassification
This project involved collecting and categorizing images based on predefined classes. I ensured that each image was accurately labeled according to content while filtering out irrelevant or low-quality data. The task required strong attention to detail and consistency across large datasets. Quality control measures were applied to maintain labeling accuracy and dataset usability for model training.

This project involved collecting and categorizing images based on predefined classes. I ensured that each image was accurately labeled according to content while filtering out irrelevant or low-quality data. The task required strong attention to detail and consistency across large datasets. Quality control measures were applied to maintain labeling accuracy and dataset usability for model training.

2022 - 2023

Image Categorization & Data Collection

ImageClassification
This project involved collecting and categorizing images based on predefined classes. I ensured that each image was accurately labeled according to content while filtering out irrelevant or low-quality data. The task required strong attention to detail and consistency across large datasets. Quality control measures were applied to maintain labeling accuracy and dataset usability for model training.

This project involved collecting and categorizing images based on predefined classes. I ensured that each image was accurately labeled according to content while filtering out irrelevant or low-quality data. The task required strong attention to detail and consistency across large datasets. Quality control measures were applied to maintain labeling accuracy and dataset usability for model training.

2022 - 2023

Video Annotation (General Objects & Activities)

VideoBounding Box
This project involved annotating objects and activities within video datasets using bounding boxes and tagging methods. I tracked object movement across frames and labeled key actions where required. The work demanded attention to temporal consistency and accuracy across dynamic scenes. I followed structured guidelines and conducted quality checks to maintain high annotation standards.

This project involved annotating objects and activities within video datasets using bounding boxes and tagging methods. I tracked object movement across frames and labeled key actions where required. The work demanded attention to temporal consistency and accuracy across dynamic scenes. I followed structured guidelines and conducted quality checks to maintain high annotation standards.

2022 - 2022

Vehicles Identification

VideoSegmentation
This project focused on vehicle identification in transport environments using video annotation with segmentation techniques. I was responsible for labeling and tracking vehicles frame by frame, ensuring each object was accurately segmented to capture its exact shape and movement. The work covered different vehicle types such as cars, buses, trucks, and motorcycles across varied scenarios including highways, urban traffic, and congested areas.

This project focused on vehicle identification in transport environments using video annotation with segmentation techniques. I was responsible for labeling and tracking vehicles frame by frame, ensuring each object was accurately segmented to capture its exact shape and movement. The work covered different vehicle types such as cars, buses, trucks, and motorcycles across varied scenarios including highways, urban traffic, and congested areas.

2022 - 2022

Vehicles Identification

VideoSegmentation
This project focused on vehicle identification in transport environments using video annotation with segmentation techniques. I was responsible for labeling and tracking vehicles frame by frame, ensuring each object was accurately segmented to capture its exact shape and movement. The work covered different vehicle types such as cars, buses, trucks, and motorcycles across varied scenarios including highways, urban traffic, and congested areas.

This project focused on vehicle identification in transport environments using video annotation with segmentation techniques. I was responsible for labeling and tracking vehicles frame by frame, ensuring each object was accurately segmented to capture its exact shape and movement. The work covered different vehicle types such as cars, buses, trucks, and motorcycles across varied scenarios including highways, urban traffic, and congested areas.

2022 - 2022

Education

K

Kenyatta University

Bachelors, Environmental Science

Bachelors
2014 - 2018

Work History

G

Green Earth Sustainable Solutions

Administrative Assistant

San Jose
2024 - Present