Synthetic Datasets for Computer Vision Training

Synthetic dataset

Real world Synthetic Dataset, that trains your algorithm to see beyond what you see!

Synthetic Dataset data that mimics production data might not be complete for obvious reasons.

Train your Computer Vision Algorithms such as Document Classifier Algorithms, with data that considers real world variables and are statistically significant, so that they can see beyond what you see in the real world.

HaiData’s proprietary synthetic document dataset generation methodology based on large scale generative modelling and Domain randomization provides data that is well balanced with consistent sampling, accommodating rare events, so that it can enable superior simulation and training of your models.

HaiData currently provides synthetic document datasets in the following domains and use cases.

  • Internal Services - Visa application, Passport validation, License validation, Birth certificates, Driver's license
  • Financial Services - Bank checks, Bank statements, Pay slips, Invoices, Tax forms, SSN ID Cards, Insurance claims and Mortgage/Loan forms and more
  • Healthcare - Medical Id cards


We also design and develop new synthetic documents as per customer requirements.

Cheque sample

Sample Synthetic Documents

Bank statement
Bank Statement
First Republic Cheque
Bank Cheque
Payslip Sample
PaySlip

Where Synthetic Datasets Are Used

Synthetic data helps train computer vision models where real data is scarce, imbalanced or sensitive. Common application areas include:

  • Document classification and OCR - training on synthetic bank statements, checks, payslips, invoices and ID cards.
  • Rare-event coverage - generating edge cases and uncommon layouts that are hard to collect in the real world.
  • Data balancing - filling class gaps with consistent sampling for more robust models.
  • Privacy-sensitive domains - reducing reliance on real personal data in finance, healthcare and identity workflows.
  • Model simulation and testing - stress-testing algorithms against controlled, statistically significant variation.

Why HaiData for Synthetic Datasets

  • Own infrastructure - built on our HaiCrowd platform (own-cloud) backed by in-house GPU infrastructure.
  • Human plus automated QC - multiple levels of human review combined with automated quality control checks.
  • Consent-first and privacy-aware - GDPR-aligned handling aligned with India's DPDP Act 2023; ISO 27001 certification is in progress (expected 2026).
  • Flexible delivery - datasets delivered to your own cloud storage in the formats your pipeline needs.
  • Trusted background - NVIDIA Inception Program member and GoodFirms-recognized, based in India and serving clients worldwide.

Combine synthetic data with human labeling through our data annotation services and image and video annotation.

Frequently Asked Questions

A synthetic dataset is artificially generated data that mimics real-world data, with controlled variation and balanced sampling so models can be trained on scenarios that are rare or hard to collect.

We provide synthetic document datasets across internal services, financial services and healthcare, including bank statements, bank checks, payslips, invoices and medical ID cards, and we design new documents to your requirements.

Synthetic data adds coverage for rare events, balances class distribution and enables superior simulation and training when real production data is incomplete or sensitive.

We follow consent-first, GDPR-aligned data handling aligned with India's DPDP Act 2023, and our ISO 27001 certification is in progress (expected 2026). Synthetic generation also reduces reliance on real personal data.

We deliver datasets in the formats your pipeline needs and can send them directly to your own cloud storage.

Ready to explore synthetic data for your models? Contact us to discuss your requirements.