Mohamed Yasser

Key Skills

Software

Labelbox

LabelImg

Label Studio

Prodigy

Other

CVAT

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Video

Top Task Types

Bounding Box

Classification

Computer Programming Coding

Object Detection

Prompt Response Writing SFT

Freelancer Overview

Activity recognition. My programming background—notably in Python, C, and C++—has given me the technological expertise to comprehend AI model workflows and annotation needs. I also possess hands-on knowledge of working with structured data and multimedia material, specifically on label tasks related to video frames and dynamic content. I also speak Arabic and possess expertise in linguistic nuances, which makes me well-suited to assist in speech and text annotation tasks related to Arabic dialects. My detail orientation, flexibility, and fast ability to learn are well-suited to AI training tasks that demand precision, consistency, and language knowledge.

Labeling Experience

Object Detection and Image Classification for Product Recognition

CVATImageBounding BoxClassification

Labeled hundreds of product images to identify and classify items such as electronics, clothing, and accessories. Used bounding boxes to detect multiple objects in a single image and assigned category labels for classification. Ensured consistent labeling using predefined class lists and quality control guidelines. Contributed to training a computer vision model used in automated product tagging systems for online platforms

Labeled hundreds of product images to identify and classify items such as electronics, clothing, and accessories. Used bounding boxes to detect multiple objects in a single image and assigned category labels for classification. Ensured consistent labeling using predefined class lists and quality control guidelines. Contributed to training a computer vision model used in automated product tagging systems for online platforms

2024 - 2024

Arabic Text Sentiment and Topic Classification

Label StudioTextClassificationEmotion Recognition

Annotated a large set of Arabic short texts and messages to classify sentiment (positive, negative, neutral) and detect emotional tone. Labeled each entry by topic category (e.g., education, finance, health) to support intent recognition in Arabic-speaking virtual assistants. Ensured dialect awareness (Egyptian, Gulf, Levant) and linguistic consistency. Conducted manual reviews to maintain annotation accuracy and balanced label distribution.

Annotated a large set of Arabic short texts and messages to classify sentiment (positive, negative, neutral) and detect emotional tone. Labeled each entry by topic category (e.g., education, finance, health) to support intent recognition in Arabic-speaking virtual assistants. Ensured dialect awareness (Egyptian, Gulf, Levant) and linguistic consistency. Conducted manual reviews to maintain annotation accuracy and balanced label distribution.

2024 - 2024

Human Activity Tracking in Sports Videos

Label StudioVideoBounding BoxAction Recognition

jumping, running, throwing, and resting. Applied bounding boxes and object tracking across frames to support AI models in understanding human motion patterns. Maintained consistency in labeling using predefined activity guidelines. Quality assurance included peer reviews and spot checks on randomly selected clips.

jumping, running, throwing, and resting. Applied bounding boxes and object tracking across frames to support AI models in understanding human motion patterns. Maintained consistency in labeling using predefined activity guidelines. Quality assurance included peer reviews and spot checks on randomly selected clips.

2024 - 2024

Education

Work History