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Aqib Murtaza Abbasi

Aqib Murtaza Abbasi

Versatile image, data label and video annotator with 4 years of experience

Malaysia flagkuala lumpur, Malaysia
$10.00/hrExpertAppenRemotasksScale AI

Key Skills

Software

AppenAppen
RemotasksRemotasks
Scale AIScale AI

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor
ImageImage
TextText

Top Task Types

No task types listed

Freelancer Overview

I have hands-on experience in AI training data and computer vision data labelling, primarily working on the Remotasks platform, where I contributed to high-quality datasets used for AI and autonomous driving applications. My work includes annotating large-scale image, video, and LiDAR data using techniques such as 2D and 3D bounding boxes, cuboids, semantic and instance segmentation, lane and drivable-area labelling, and multi-object tracking. I consistently follow detailed project guidelines and perform quality checks to ensure accuracy, consistency, and reliability of training data. What sets me apart is my strong ability to handle complex and edge-case scenarios, including occlusions, night driving, adverse weather, dense traffic, and challenging road conditions. Through Remotasks projects, I gained experience with industry-standard annotation tools such as CVAT and point-cloud labelling platforms, while working under strict quality and deadline requirements. My attention to detail, discipline in following feedback, and understanding of data-centric AI workflows allow me to deliver dependable training data for high-performance AI models.

ExpertMalayEnglish

Labeling Experience

Scale AI

Image labelling

Scale AIImageBounding BoxPolygon
Annotated large-scale image, video, and LiDAR datasets for autonomous driving, including 2D/3D bounding boxes, cuboids, semantic segmentation, lane/drivable-area labeling, and multi-object tracking. Ensured high-quality, guideline-compliant annotations by handling complex edge cases and performing QA checks for accuracy and consistency.

Annotated large-scale image, video, and LiDAR datasets for autonomous driving, including 2D/3D bounding boxes, cuboids, semantic segmentation, lane/drivable-area labeling, and multi-object tracking. Ensured high-quality, guideline-compliant annotations by handling complex edge cases and performing QA checks for accuracy and consistency.

2022 - 2024

Education

B

barani institue

some deploma, computer science

some deploma
2017 - 2019

Work History

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Aqib Murtaza A. hasn’t added any Work History to their OpenTrain profile yet.