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USE CASE

Parking Spaces Image Annotation

A dataset of parking lot photos for classifying available and occupied parking spaces
Computer Vision Ability to recognize and analyze images and video
Object Detection Determining the position of an object with Bounding Box annotation
Classification Ability to assess and separate objects based on predetermined features
Transportation Using machine learning in the automotive industry
3 500
photos
4 weeks
project duration

Our Partners

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CASE DESCRIPTION

Collection of parking lot photos through parsing and crowdsourcing

Detection of parking spaces using Bounding Box in CVAT. Classification of parking spaces as available, occupied, and partially occupied

APPLICATION AREAS OF THE DATASET

Parking Analytics:

Classification for analyzing the geographical distribution of available parking spaces and making decisions about parking construction and planning

Traffic Management:

Computer vision and classification to determine the degree of parking space occupancy in different areas, optimizing vehicle movement, and reducing road congestion

Development of Autonomous Vehicles:

Computer vision for training autonomous vehicles to recognize and classify parking spaces

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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