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USE CASE

Cars 360 Video Collection

Dataset for training a neural network for classification of damages in 360-degree videos captured around vehicles
Computer Vision Ability to recognize and analyze images and videos
Classification Ability to assess and distinguish objects based on predefined criteria
Transportation Utilization of machine learning in the automotive industry
Data Collection Gathering relevant data for subsequent labeling
4
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

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

DIDN'T FIND THE NECESSARY INFORMATION?

Leave a request for a free consultation and a test dataset!

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
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