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AI Labeling and Tagging

AI Labeling and Tagging.

Labeling & Annotation

Labeling & Annotation

Boost your AI model's performance with high-quality labeled data from our expert annotation services. We provide precise labeling and tagging to enhance the training of supervised learning models, ensuring better accuracy and outcomes.


Labeling & Annotation

Find out how our labeling and annotation services can improve your AI model's accuracy.

Steps for Labeling

Labeling data accurately is critical to the success of machine learning models. Here are the essential steps:

  1. Data Collection: Gather raw data from various sources such as images, text, or videos.
  2. Data Preparation: Clean and preprocess the data to ensure it is ready for labeling.
  3. Label Definition: Define the categories or labels that need to be assigned to the data.
  4. Labeling Process: Use specialized tools and interfaces to assign labels to the data.
  5. Quality Assurance: Implement rigorous quality checks to ensure labeling accuracy.

Our Labeling Services

At Rfwel Engr, we offer comprehensive data labeling services:

  • Data Preparation: We prepare your data and create user-friendly UIs that labelers can use efficiently.
  • Annotation Services: We provide precise annotation services, including bounding boxes, segmentation, and more.
  • Customized Solutions: Tailored labeling solutions to meet your specific project requirements.
  • Quality Control: Robust quality assurance processes to ensure the highest accuracy in labeled data.

Summary of Skillset

Example Labeling Software
AWS SageMaker AWS SageMaker
Dataloop Dataloop
Doccano Doccano
Labelbox Labelbox
LightTag LightTag
Prodigy Prodigy
SuperAnnotate SuperAnnotate
Encord Encord
Label Studio Label Studio
Scale AI Scale AI
V7 Labs V7 Labs
Supervisely Supervisely
Example Data Types
Computer Code/Programming
Document
Text
Audio
Video
Example Labeling Types
Classification
Data Collection
Fine-tuning
Prompt + Response Writing
Text Summarizing
RLHF
Evaluation
Function Calling
Point/ Key Point
Polygon/ Polyline
Segmentation
Routing
Industry Labeling Experience
Legal
Wireless
Utility
Staffing Locations
U.S. Flag Phoenix, Arizona
Kenya Flag Nairobi, Kenya

Why Choose Rfwel Engr for Labeling?

We understand the challenges of data labeling and annotation, and we strive to address common issues such as:

  • Scalability: We can scale our services to meet large-volume labeling needs. We have access to highly educated yet cost-effective labelers in Nairobi and Manila to supplement our internal teams.
  • Turnaround Time: Efficient processes and trained staff ensure quick turnaround times.
  • Cost-Effectiveness: Our international teams offer competitive pricing without compromising quality.
  • Technical Expertise: As a licensed engineering firm (AZ Reg#17227, Electrical), we are able to coach and support our labelers on more technical datasets. This allows us to handle complex and technical labeling tasks with precision and efficiency.
  • Our collaboration with Kama Thuo, PLLC law firm ensures ethical staffing conditions and legal compliance.
  • We are committed to providing high-quality and accurate labeled data to enhance your AI models.
  • Integration with Other AI Services: We offer comprehensive solutions including AI Training & Fine-Tuning, Prompt Engineering & Output Evaluation, AI Integration & Deployment, and Robotic Process Automation (RPA) to ensure your AI initiatives are successful from start to finish.

Ready to boost your AI model's performance with high-quality labeled data? Contact Us to discuss your labeling needs.