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Image Annotation for Emotion Recognition

Emotion Recognition helped a neural network detect emotions with 99% accuracy

Industry and use case:

Video Systems and Video Analysis

Data:

25,000 photos

Project duration:

30 days

Our Challenge:

The client wanted to develop a highly precise system for analyzing human emotions. He was looking for a dataset exhibiting various levels of emotional expression in individuals. Our client emphasized the need for meticulous annotation, involving over 50 points per face as per specifications. Seeking an optimal solution in terms of both price and quality for the project, the client lacked experience with various annotation tools

Our Solution:

To ensure precision in the annotation process, we established three distinct teams tasked with annotation duties, following the client’s guidelines.

We assessed the consistency of the annotation. Cases where the consistency among all three teams fell below 98% were forwarded to the project manager for finalization. Our project manager, in collaboration with the client’s supervisor, addressed complex scenarios, accounting for 1-2% of the total volume

Outcomes:

  • The client successfully trained the neural network to recognize emotions with an accuracy rate of 99%
  • Management processes were aligned with the client’s requests: a dedicated manager provided daily reports on assessor work, conducted daily meetings, and facilitated iterative revisions of the guidelines

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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Tell us about your project!

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    • Data labeling

    • Data collection

    • Datasets

    • Human Moderation

    • Other (describe below)