Portfolio Case Study

Fastview360 (UK): End-to-End Multi-Modal Data Annotation

3D and 2D annotation delivery for vehicle tracking and PPE safety compliance AI models.

Projects delivered in 2025-2026 across Roboflow and Fiverr with QA-led batch approval.

Project Overview

Fastview360 (UK) - Multi-Modal Annotation Delivery

Three separate annotation projects delivered for AI-powered speed and safety systems, including 3D bounding boxes with keypoints, 2D boxes, and PPE detection labeling.

Price Range Project-based delivery
Project Duration 2025-2026 (3 separate jobs)
Industry Road Safety and Surveillance AI

Project Summary

This portfolio case study covers AI data annotation work delivered for Fastview360 (UK), an AI-powered speed and safety solutions company. The projects were completed through Roboflow and Fiverr during 2025-2026, with a focus on production-ready outputs for vehicle tracking and safety compliance models.

Scope Delivered

  1. 3D bounding box and keypoint tracking for vehicles in CCTV footage
  2. 2D bounding box annotation across image and video datasets
  3. PPE detection labeling for high-visibility vest, helmet, trousers, and related safety gear

Tools Used

Roboflow workspace and labeling tools.

Role and Client Satisfaction

  • My role: Senior Data Labeler / Annotator and Quality Assurance support
  • Client engineering team reviewed and approved each batch
  • 100% client satisfaction reported through Fiverr collaboration

Client site: fastview360.co.uk

Work Delivered

Annotation scope for the Vehicles project

Structured output aligned to production computer vision requirements.

3D bounding box and keypoint tracking for vehicles in CCTV footage

Clean and consistent 2D bounding box annotation across image and video datasets

PPE annotation for high-visibility vest, helmet, trousers, and other safety gear

Quality assurance and batch-level review support with client engineering approval

High-accuracy labels prepared for real-time tracking and safety compliance model training

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