Vehicles 360-Degree Video Data Collection for Visual Inspection Model

Client's Challenge & Our Solution

A global insurance company wanted to develop a visual inspection model to detect vehicle damages such as dents, scratches, and more. To train this model, they required 5,000 high-quality 360-degree videos of vehicles with various types of damage. Additionally, the client wanted to ensure that the vehicle number plates were anonymized to maintain ethical data collection practices.

FutureBeeAI efficiently handled the collection and anonymization of video data from over 20 countries, ensuring diverse demographic representation. We implemented strict quality checks and anonymization processes to guarantee data compliance and successfully delivered the entire dataset within 8 weeks, meeting the client's requirements for both quantity and privacy standards.

Outcome & Features:

Delivered 5,000 high-quality 360-degree videos of cars with different types of damages across 20+ countries

Implemented robust anonymization techniques to obscure vehicle number plates, ensuring ethical data handling and privacy compliance.

Completed the entire data collection and anonymization process within 8 weeks.