Structured AI dataset development

Structured AI dataset development is the systematic process of gathering, cleaning, labeling, organizing, and formatting information into a predefined schema or table format (such as rows, columns, JSON, or CSV) so that machine learning models can reliably learn from it.

We follow the following steps during the dataset development:

Problem Definition & Planning

• The problem that the customer is trying to solve is clearly identified.
• The feasibility of the project is assessed.

Data Collection & Preparation

• The data is curated:

  • Gather domain-specific data related to the problem to the problem

• The data is preprocessed and labeled:

  • Cleaned
  • Normalized
  • Split into training data, validation data and test data subsets

Delivery

• The structured data is delivered to you with csv, json or Excel files.

Price

Service	Price per hour
Dataset development

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