Mostafizur RahmanServices / Data Quality & AI/ML Dataset Validation
Data Quality & AI/ML Dataset Validation
Training data you can trust.
- Dataset QA
- Annotation Review
- Image & Sensor Data Validation
Final pricing depends on data volume, complexity, and agreed deliverables.
Discuss your projectService overview
The problem, and what you gain
The problem it solves
Model performance is capped by label quality. Inconsistent annotations and unclear guidelines quietly degrade training data.
The value to you
A systematic review finds error patterns early, tightens guidelines and improves consistency, so your models train on data you can trust.
Scope of work
What this service covers
- Review of annotated image, LiDAR and sensor data
- Error-pattern analysis
- Annotation guideline refinement
- Quality metrics and sampling plans
- Workflow improvement suggestions
- Clear written reporting
My process
How the work runs
Review
Guidelines, taxonomy and quality targets are examined together.
Sample and audit
A structured sample is reviewed against the guidelines.
Categorise
Errors are grouped into patterns and root causes.
Recommend
Fixes to the guidelines and workflow are proposed.
Report
You receive findings, metrics and a plan to sustain quality.
What I need from you
Inputs to get started
- A sample of the labelled data (image, LiDAR, sensor or tabular)
- The current annotation guidelines
- The label taxonomy
- Your quality targets
- Outputs from the annotation tool, where available
What you will get
Your deliverables
- QA findings with error categories and examples
- Corrective recommendations
- Updated or clarified annotation guidelines
- A summary of quality metrics
FAQ
Frequently asked questions
Which data types can you review?
Image, LiDAR, sensor and tabular data.
How is quality measured?
We agree a sampling method and error categories up front, and I report accuracy with its exact definition.
Can you correct the labels as well?
Corrections can be included. Tell me the volume and we will scope it.
Can you work in our annotation tool?
Tell me which one you use and I will confirm how I can work with it.
Can you help improve our annotation guidelines?
Yes. Refining and clarifying guidelines is part of the service, based on the error patterns found during the review.
Get started
Ready to talk about Data Quality & AI/ML Dataset Validation?
Send a short description of your data and what you need to achieve. I'll reply with a scope and a quote. Starting at $10 (hourly).