Wambua Benjamin

Key Skills

Software

Clickworker

CloudFactory

CVAT

Data Annotation Tech

Dataloop

HiveMind

Labelbox

OneForma

Remotasks

Scale AI

V7 Labs

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Video

Top Task Types

Bounding Box

Classification

Cuboid

Data Collection

Polygon

Freelancer Overview

I am a data enthusiast with broad knowledge in data processing field. Being experienced for over 5 years in this field I provide all kind of AI, ML and NLP data labelling and annotation services. l provide all data annotation, labelling services and outsourcing efforts. I have obtained experience working with cloudfactory and obtained a certificate in AI data training, i have also had privileges' to work online with Enlabeler, Remotask and Fiverr

Labeling Experience

Ocean Cleanup - Clean up of Ocean Pollution

CVATImageBounding Box

The Ocean Cleanup, a non-profit organization wanted to leverage Artificial Intelligence powered computer vision to identify marine waste and retrieve it to be responsibly disposed of. The dataset consisted of images taken on a beach. The task was to annotate all debris found along the beach.

The Ocean Cleanup, a non-profit organization wanted to leverage Artificial Intelligence powered computer vision to identify marine waste and retrieve it to be responsibly disposed of. The dataset consisted of images taken on a beach. The task was to annotate all debris found along the beach.

2022 - 2022

Serket - Pigs Behavior Monitoring

CVATVideoPolygon

Video annotation for monitoring 7 different activities (behaviors): - eating, - drinking, - standing, - walking - inactive (laying, sitting), - aggression, - bad behavior.

Video annotation for monitoring 7 different activities (behaviors): - eating, - drinking, - standing, - walking - inactive (laying, sitting), - aggression, - bad behavior.

2022 - 2022

Flower Phenotyping Annotations

CVATImagePolygonSegmentation

The data consisted of flowers planted in containers (container field) or flowers planted in the ground (open field). The main goal was to properly annotate the data and its different components to train Deep Learning models for flower phenotyping projects.

The data consisted of flowers planted in containers (container field) or flowers planted in the ground (open field). The main goal was to properly annotate the data and its different components to train Deep Learning models for flower phenotyping projects.

2022 - 2022

Abundant Robotics - Apple Segmentation

LabelboxImageBounding BoxPolygon

Abundant developed a harvesting robot that initially targeted apples. The system combined computer vision and a vacuum end-effector to select and pick ripe fruit, transferring it into a bin. The task was to label all apples that were less occluded, obstructed, and big enough to be picked.

Abundant developed a harvesting robot that initially targeted apples. The system combined computer vision and a vacuum end-effector to select and pick ripe fruit, transferring it into a bin. The task was to label all apples that were less occluded, obstructed, and big enough to be picked.

2018 - 2021

Education

Work History