Karim Metwali

Key Skills

Software

CVAT

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Task Types

Bounding Box

Classification

Text Generation

Freelancer Overview

As a bilingual (Arabic/English) AI Data Specialist, I bring extensive experience in data labeling, annotation, and AI training. My expertise spans various data types, including text, image, and video, with a focus on classification, bounding box annotation, and text generation for NLP and computer vision projects. I have contributed to AI development for diverse industries, including multilingual LLM evaluation, object detection for retail inventory systems, and video classification for e-learning platforms. With proficiency in tools like CVAT. I ensure accuracy, consistency, and efficiency in all annotation tasks. My background in web development and UI/UX design complements my data expertise, enabling me to approach AI training with a holistic perspective.

Labeling Experience

Data Labeling for Autonomous Vehicle Object Detection

CVATImageBounding BoxObject Detection

In this project, I was tasked with annotating a large dataset of images for autonomous vehicle object detection. The project involved labeling vehicles, pedestrians, traffic signs, and obstacles within images using bounding boxes. The dataset contained over 10,000 images collected from various road conditions and environments, ensuring a comprehensive set for training AI models. I adhered to strict quality control standards, including multiple rounds of verification to ensure accuracy. The project was completed within a 6-month timeframe, with consistent feedback loops to improve labeling precision.

In this project, I was tasked with annotating a large dataset of images for autonomous vehicle object detection. The project involved labeling vehicles, pedestrians, traffic signs, and obstacles within images using bounding boxes. The dataset contained over 10,000 images collected from various road conditions and environments, ensuring a comprehensive set for training AI models. I adhered to strict quality control standards, including multiple rounds of verification to ensure accuracy. The project was completed within a 6-month timeframe, with consistent feedback loops to improve labeling precision.

2024 - 2024

Education

Work History