Nyamu Mucheri

Key Skills

Software

CVAT

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Bounding Box

Freelancer Overview

I am a detail-oriented professional with hands-on experience in data annotation, AI model training, and transcription for leading platforms like Remotasks and Telus International. My background includes annotating image, text, and video data for machine learning and computer vision projects, as well as participating in specialized initiatives such as the Google Selfie Project for facial recognition AI. I am proficient in tools like Labelbox, Supervisely, and VGG Image Annotator, and consistently ensure high data quality through rigorous quality control processes. With a strong foundation in computer science and ICT, I excel at remote collaboration, meeting tight deadlines, and adapting to diverse project requirements. My multilingual abilities and public speaking experience further enhance my communication and teamwork skills in global, remote environments.

Labeling Experience

Annotated Image Dataset for Plant Species Classification

CVATImageBounding Box

In this project, I created and labeled an image dataset to support the classification of different plant species. Using Labelbox, I annotated over 2,000 images with bounding boxes around leaves and flowers. Each image was categorized by species type, enabling a machine learning model to accurately identify and classify plants from visual features. This dataset is intended to be used for training and validating AI models in botanical research and conservation.

In this project, I created and labeled an image dataset to support the classification of different plant species. Using Labelbox, I annotated over 2,000 images with bounding boxes around leaves and flowers. Each image was categorized by species type, enabling a machine learning model to accurately identify and classify plants from visual features. This dataset is intended to be used for training and validating AI models in botanical research and conservation.

2005 - 2025

Education

Work History