USE CASE
OCR Train Railway Annotation
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
Our Partners
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
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Why
Training Data
- Quality Assurance:
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Enhanced Data Accuracy
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Consistency in Labels
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Reliable Ground Truth
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Mitigation of Annotation Biases
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Cost and Time Efficiency
- Data Security and Confidentiality:
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GDPR Compliance
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Non-disclosure agreement
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Data Encryption
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Multiple data storage options
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Access Controls and Authentication
- Expert Team:
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6 years in industry
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35 top project managers
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40+ languages
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100+ countries
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250k+ assessors
- Flexible and Scalable Solutions:
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24/7 availability of customer service
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100% post payment
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$550 minimum check
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Variable Workload
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Customized Solutions
Team leads project
Anton Tseluiko
Operations manager
Arthur Kazukevich
Python-developer
Daria Yurkevich
Quality Control Manager