S M Wasir Jayed Rafi

Key Skills

Software

CVAT

Labelbox

LabelImg

Top Subject Matter

Urban Traffic

Media Analysis

General AI Datasets

Top Data Types

Image

Video

Audio

Top Label Types

Bounding Box

Classification

Segmentation

Polygon

Entity Ner Classification

Polyline

Point Key Point

Cuboid

Object Detection

Text Generation

Text Summarization

Transcription

Evaluation Rating

Freelancer Overview

Data Annotation & Media Analysis Specialist with published multimodal work and strong QA discipline. Hands-on experience across image, video, text and audio (bounding boxes, segmentation, temporal labeling, transcription) and LLM/multimodal evaluation with evidence-based rationales.

Labeling Experience

Data Annotation & Media Analysis Specialist (Self-Employed)

CVATImageBounding Box

Executed multimodal data annotation projects for image, video, text, and audio datasets targeting AI model training. Applied bounding-box, segmentation, and tracking methods for computer vision and performed NER/classification for text with transcription on audio files. Led annotation QA, guideline creation, and exported datasets in COCO, Pascal VOC, and CSV formats. • Used CVAT, Labelbox, LabelImg, and Microsoft Excel for annotation work • Ensured quality through systematic QA audits and structured dataset exports • Produced media analysis, image descriptions, and content categorization • Delivered comprehensive annotation projects for urban traffic object-detection and media indexing.

Executed multimodal data annotation projects for image, video, text, and audio datasets targeting AI model training. Applied bounding-box, segmentation, and tracking methods for computer vision and performed NER/classification for text with transcription on audio files. Led annotation QA, guideline creation, and exported datasets in COCO, Pascal VOC, and CSV formats. • Used CVAT, Labelbox, LabelImg, and Microsoft Excel for annotation work • Ensured quality through systematic QA audits and structured dataset exports • Produced media analysis, image descriptions, and content categorization • Delivered comprehensive annotation projects for urban traffic object-detection and media indexing.

2025 - Present

Media Analysis Portfolio

CVATImageClassification

Produced structured image descriptions and categorized visual content for metadata indexing and portfolio demonstration. Combined semantic analysis with technical annotation to map visual attributes. Aimed to enhance retrieval and structured search in digital asset management. • Focused on descriptive and categorical labeling of images • Used for portfolio and media analysis demonstration • Cross-referenced annotations with indexing strategies • Enhanced discoverability of image assets.

Produced structured image descriptions and categorized visual content for metadata indexing and portfolio demonstration. Combined semantic analysis with technical annotation to map visual attributes. Aimed to enhance retrieval and structured search in digital asset management. • Focused on descriptive and categorical labeling of images • Used for portfolio and media analysis demonstration • Cross-referenced annotations with indexing strategies • Enhanced discoverability of image assets.

Not specified

Urban Traffic Object Detection Dataset (Published)

CVATImageBounding Box

Annotated urban traffic images using bounding boxes for object detection, focusing on vehicles, pedestrians, and traffic signs. Developed and documented labeling guidelines aligned with international standards. Conducted rigorous QA and dataset exports in COCO and Pascal VOC formats. • Published project examples and procedures on LinkedIn • Focused on structured urban image datasets • Ensured high annotation quality and consistency • Used for AI-driven object detection and traffic analysis.

Annotated urban traffic images using bounding boxes for object detection, focusing on vehicles, pedestrians, and traffic signs. Developed and documented labeling guidelines aligned with international standards. Conducted rigorous QA and dataset exports in COCO and Pascal VOC formats. • Published project examples and procedures on LinkedIn • Focused on structured urban image datasets • Ensured high annotation quality and consistency • Used for AI-driven object detection and traffic analysis.

Not specified

Education

Work History