Mostafizur RahmanServices / AI/ML Data Annotation
AI/ML Data Annotation
Accurate labels, applied consistently.
- Image Annotation
- Video Annotation
- Data Labeling
- Bounding Boxes
- Segmentation
- Object Detection
- Annotation Guidelines
Final pricing depends on data volume, complexity, and agreed deliverables.
Discuss your projectService overview
The problem, and what you gain
The problem it solves
Machine-learning and computer-vision models learn from their labels. Inconsistent or slow annotation limits model quality and holds projects back.
The value to you
You receive carefully labeled data that follows your guidelines, with consistency checks built in, so your models train on data that is accurate and uniform.
Scope of work
What this service covers
- Image and video annotation
- Bounding boxes and image segmentation
- Object detection and classification labels
- LiDAR and sensor data annotation
- Following project-specific guidelines and label taxonomies
- Flagging ambiguous cases and unclear instructions
- Batch-level quality checks before delivery
My process
How the work runs
Review
Guidelines, label taxonomy and examples are reviewed together.
Calibrate
A small sample is labeled first and checked against your expectations.
Annotate
The full batch is labeled following the agreed guidelines.
Quality check
Every batch is reviewed for accuracy and consistency before delivery.
Deliver
You receive the labels, the quality summary and notes on any ambiguous cases.
What I need from you
Inputs to get started
- Raw images, video or sensor data to be labeled
- Annotation guidelines and the label taxonomy
- Examples of correctly labeled items
- The annotation tool in use, or the output format required
- Volume, quality targets and deadlines
What you will get
Your deliverables
- Labeled dataset in your required format
- Consistency and quality-check summary
- A list of ambiguous cases with suggested guideline clarifications
- Progress and throughput reporting for larger batches
FAQ
Frequently asked questions
Which output formats can you deliver?
Labels can be delivered in the format your pipeline needs. Tell me which one you use and we will confirm it.
Can you work in our annotation tool?
Tell me which tool you use and I will confirm how I can work with it.
How do you keep labels consistent?
By calibrating on a sample first, following the guidelines closely, reviewing each batch and flagging ambiguous cases early.
Can you handle large volumes?
Volume and timeline are agreed up front, along with batch sizes and progress reporting.
How is my data handled during the project?
Tell me about your confidentiality requirements before sharing anything. Data is used only for the project and handled according to the terms we agree beforehand.
Get started
Ready to talk about AI/ML Data Annotation?
Send a short description of your data and what you need to achieve. I'll reply with a scope and a quote. Starting at $5 (hourly).