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USE CASE

Train Numbers Dataset

Collection and annotation of train photos for detecting and recognizing their numbers
OCR The process of identifying and converting text from a digital image into text format
Object Detection Determining the position of an object with Bounding Box annotation
Computer Vision Ability to recognize and analyze images and video
Railroad Industry Use of machine learning in the railway industry
3 000
photos
3 weeks
project duration

CASE DESCRIPTION

We offer photo collection services of trains through parsing and crowdsourcing

We offer train number annotation services using Bounding Box and text recognition in CVAT

APPLICATION AREAS OF THE DATASET

Transportation Safety:

Computer vision for ensuring the safe operation of railway transport, detecting unauthorized access, and quickly identifying suspicious objects

Passenger Services:

OCR and computer vision for monitoring the condition of trains, determining train occupancy, and predicting arrival times

Railway Logistics:

OCR and computer vision for logistics management and cargo monitoring, tracking, and ensuring the functionality of trains and wagons

Maintenance and Repair:

OCR for automating train maintenance and repair processes

FACTORS AFFECTING THE FINAL PROJECT COST INCLUDE

Our data quality guarantee is 95%. For annotation orders requiring quality above 95%, we offer enterprise solutions

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
woman

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