Joseph Mwita

Key Skills

Software

CVAT

Encord

Top Subject Matter

No subject matter listed

Top Data Types

Image

Video

Top Task Types

Bounding Box

Polygon

Segmentation

Freelancer Overview

I am an experienced data annotation and labeling specialist with a strong background in supporting AI training across diverse domains, including medical imaging, agriculture, retail, industrial, and autonomous driving. My expertise includes precise image, video, audio, and text annotation, as well as advanced segmentation of 3D objects and lidar data. I am skilled in using a range of annotation tools such as Dataloop, CVAT, Labelbox, SuperAnnotate, Label Studio, Hasty, and V7. I have contributed to projects involving medical scans, field imagery, aerial mapping, and inventory tracking, consistently ensuring high accuracy and quality. My strengths include attention to detail, adaptability, and effective teamwork, allowing me to deliver reliable datasets for complex AI solutions.

Labeling Experience

Data annotator

EncordVideoBounding BoxPolygon

Label diverse datasets images and video for AI training. Utilize various annotation tools for accurate and efficient labeling. Participate in team meetings to align on requirements and solve challenges. Provide feedback to enhance annotation guidelines and assisted in developing automated quality checks.

Label diverse datasets images and video for AI training. Utilize various annotation tools for accurate and efficient labeling. Participate in team meetings to align on requirements and solve challenges. Provide feedback to enhance annotation guidelines and assisted in developing automated quality checks.

2024 - 2024

AI Evaluator

CVATImageBounding BoxPolygon

Add labels for scan type, view plane, and diagnostic notes to enrich datasets for AI training. Precisely outline organs, tissues, tumors, and lesions in scans (MRI, CT, X-ray) using polygons masks. Segment spiral shapes, coils, and helical structures in industrial imagery. Segment and classify plants, weeds, and crop rows in field imagery

Add labels for scan type, view plane, and diagnostic notes to enrich datasets for AI training. Precisely outline organs, tissues, tumors, and lesions in scans (MRI, CT, X-ray) using polygons masks. Segment spiral shapes, coils, and helical structures in industrial imagery. Segment and classify plants, weeds, and crop rows in field imagery

2024 - 2024

Education

Work History