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Agriculture

Highly-specialized team of biologists helped to classify plant diseases for timely crop monitoring

Industry and use case:

Agriculture, plant-disease detection

Data:

50,000 plant photos

Project duration:

2 months

Challenge:

An innovative company in the Agritech sector was building a neural network to automatically identify and classify crop diseases. They collected 50,000 real images of different plants’ deseases and asked the Training Data team to annotate this data set. The main challenge was that such data labelling required highly-specialized biological expertise

Solution:

We found and prepared a team of 10 biologists with diverse backgrounds and expertise who could segment the disease areas first and then classify the types of plant illness. Their work led to high-quality dataset annotation that was not possible to do with the internal company’s resources in a short timeframe

Outcomes:

  • Timely crop disease detection and proactive mitigation measures
  • The neural network pilot results demonstrated the potential to increase crop yields by 1-3%
Training Data formed a highly-specialized team of biologists for us, and it was the only way we could get the data we needed. Also, they assigned an engagement manager whom we trusted from day one. He was friendly and knowledgeable!
Victor S.
Deputy Head of IT Solutions and Innovation Department

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Stages of work

  • Application

    /01
    Leave a request on the website for a free consultation with an expert. Th e acco unt manager will guide you on the services, timelines, and price

  • Free pilot

    /02
    We will conduct a test pilot project for you and provide a golden set, based on which we will determine the final technical requirements and approve project metrics

  • Agreement

    /03
    We prepare a contract and all necessary documentation upon the request of your accountants and lawyers

  • Workflow customization

    /04
    We form a pool of suitable tools and assign an experienced manager who will be in touch with you regarding all project details

  • Quality control

    /05
    Data uploads for verification are done iteratively, allowing your team to review and approve collected/annotated data

  • Post-payment

    /06
    You pay for the work after receiving the data in agreed quality and quantity

Timeline

  • 24 hours
    Application
  • 24 hours
    Consultation
  • 1 to 3 days
    Pilot
  • 1 to 5 days
    Conducting a pilot
  • 1 day to several years
    Carrying out work on the project
  • 1 to 5 days
    Quality control
You pay for the work after you have received the data
in the established quality and quantity

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
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    • Data labeling

    • Data collection

    • Datasets

    • Human Moderation

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