USE CASE

Cars 360 Video Collection

Dataset for training a neural network for classification of damages in 360-degree videos captured around vehicles

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weeks

2,000

videos

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CASE DESCRIPTION

Collecting video files of 1.5 to 2 minutes duration, shot around cars using smartphone cameras (iOS and Android)

The dataset can be collected with data from countries of interest, under specific lighting conditions, times of day, and seasons

Additional annotation: bounding box, tracking, and segmentation

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APPLICATION AREAS OF THE DATASET

Automotive industry:

Computer vision for analyzing and enhancing safety technologies and driver assistance systems. It can aid in the development of autonomous vehicles, traffic management systems, or diagnostics of technical issues

Damage Identification:

Computer vision for detecting the presence and localization of damage on vehicles

Safety:

Computer vision and classification for identifying vehicles involved in accidents through external surveillance cameras

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Why
Training Data

Quality Assurance:
Enhanced Data Accuracy
Consistency in Labels
Reliable Ground Truth
Mitigation of Annotation Biases
Cost and Time Efficiency

Data Security and Confidentiality:
GDPR Compliance
Non-disclosure agreement
Data Encryption
Multiple data storage options
Access Controls and Authentication

Expert Team:
6 years in industry
35 top project managers
40+ languages
100+ countries
250k+ assessors

Flexible and Scalable Solutions:
24/7 availability of customer service
100% post payment
$550 minimum check
Variable Workload
Customized Solutions

Team leads project

Anton Tseluiko

Operations manager

Arthur Kazukevich

Python-developer

Daria Yurkevich

Quality Control Manager