James Matoke

Key Skills

Software

Alegion

Anno-Mage

Appen

Argilla

Scale AI

Top Subject Matter

Self-driven car Imagery

Lidar Imagery

Satellite image Classification

Top Data Types

3D Sensor

Image

Video

Top Label Types

No label types listed

Freelancer Overview

I am an Expert in Data labelling and annotation and Lidar. I have annotations and labelled over 6000 data points with 99% accuracy following specific guidelines and quality standards. Collaborated seamlessly with dat experts in training machine learning models that achieve 97% precision and recall metrics. Provided valuable feedback on annotations guidelines, leading up to 20% faster annotation process and improved model performance. Maintaining meticulous documentation, resulting into 50% reduction in annotation errors and improved project tracking.

Labeling Experience

Vedio and Image Segementation

Scale AIVideoPolygonSegmentation

To begin, start by compiling a large amount of picture content separately. Drawing bonding boxes or polygon specific images as assigned to the task. Checking if it the bonding boxes or polygon have included every edge of the image. Checking on the accuracy of the compete task before submission. Accuracy is a key point when working on every task. Quality Assurance: For the AI to function well, the labels must be accurate. It is crucial to verify the quality of the labeled data by double-checking it.

To begin, start by compiling a large amount of picture content separately. Drawing bonding boxes or polygon specific images as assigned to the task. Checking if it the bonding boxes or polygon have included every edge of the image. Checking on the accuracy of the compete task before submission. Accuracy is a key point when working on every task. Quality Assurance: For the AI to function well, the labels must be accurate. It is crucial to verify the quality of the labeled data by double-checking it.

2020 - 2023

Image labelling

Scale AIImageBounding BoxPolygon

To begin, start by compiling a large amount of picture content separately. Drawing bonding boxes or polygon specific images as assigned to the task. Checking if it the bonding boxes or polygon have included every edge of the image. Checking on the accuracy of the compete task before submission. Accuracy is a key point when working on every task. Quality Assurance: For the AI to function well, the labels must be accurate. It is crucial to verify the quality of the labeled data by double-checking it.

To begin, start by compiling a large amount of picture content separately. Drawing bonding boxes or polygon specific images as assigned to the task. Checking if it the bonding boxes or polygon have included every edge of the image. Checking on the accuracy of the compete task before submission. Accuracy is a key point when working on every task. Quality Assurance: For the AI to function well, the labels must be accurate. It is crucial to verify the quality of the labeled data by double-checking it.

2018 - 2023

Lidar Annotation

Scale AIImage

To begin, start by compiling a large amount of picture content separately. Drawing bonding boxes or polygon specific images as assigned to the task. Checking if it the bonding boxes or polygon have included every edge of the image. Checking on the accuracy of the compete task before submission. Accuracy is a key point when working on every task. Quality Assurance: For the AI to function well, the labels must be accurate. It is crucial to verify the quality of the labeled data by double-checking it.

To begin, start by compiling a large amount of picture content separately. Drawing bonding boxes or polygon specific images as assigned to the task. Checking if it the bonding boxes or polygon have included every edge of the image. Checking on the accuracy of the compete task before submission. Accuracy is a key point when working on every task. Quality Assurance: For the AI to function well, the labels must be accurate. It is crucial to verify the quality of the labeled data by double-checking it.

2020 - 2023

Education

Work History