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Shoab Ahmed
@shoab_ahmed002
Computer Vision Annotation Expert YOLO, COCO, CVAT
Bangladesch
Englisch, Bengalisch
Über mich
I help AI startups, researchers, and companies build high-accuracy, model-ready datasets for computer vision. I provide precise bounding box and polygon annotations with consistent labeling.
Formats: YOLO, COCO JSON, Pascal VOC
Tools: CVAT, Roboflow, LabelImg, Label Studio
I focus on accuracy, consistency, and fast delivery.
I offer a free sample (5–10 images) so you can verify quality before ordering.
Message me to discuss your project.
Kompetenzen
Shoab Ahmed
offline •
Durchschnittliche Antwortzeit: 1 Stunde
Meine Dienstleistungen
Datenlabeling & -annotation
I will annotate images for ai using bounding boxes and segmentation
Scripting
I will create simple autohotkey scripts for basic automation tasks
Portfolio
Arbeitserfahrung
Data Annotation Specialist
Upwork • Teilzeit
Feb 2024 - Present • 2 yrs 3 mos
Annotated 15,000+ images across multiple computer vision projects with 98%+ accuracy. Performed bounding box annotation, polygon segmentation, and image tagging using CVAT, LabelImg, and Roboflow. Delivered high-quality datasets in YOLO, COCO JSON, and Pascal VOC formats. Maintained strict labeling consistency by following detailed project guidelines. Ensured accuracy, quality control, and timely delivery across all tasks.
