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PRANJUL RATHOUR
PRANJUL RATHOUR

Posted on Originally published at pranjulrathour.scult.in

Synthetic image data: when it's a legitimate fix for a scarce dataset

A narrow vision task — detecting a specific defect type, a specific object class — often has very little real labelled data available. Synthetic data, rendered or generated, can plausibly fill that gap, within limits.

Where it works

  • Object detection where 3D models or rendering pipelines can produce varied, labelled synthetic scenes at scale.
  • Data augmentation on top of a small real set, rather than as a complete replacement for it.
  • Bootstrapping a first version of a model before enough real data has been collected, with a plan to retrain on real data later.

Where it fails

A model trained purely on synthetic data often struggles with the subtle texture and lighting realism of real photos — the 'domain gap' between synthetic and real is a well-documented failure mode. Always validate on real data before trusting a synthetic-trained model in production, and mix in real examples wherever possible.

About Pranjul Rathour

Pranjul Rathour seated in a black jacket and white turtleneck with an event lanyard
Pranjul Rathour

Pranjul Rathour presenting KrishGyan — farming advice in your voice and language — in front of a projector screen
Presenting KrishGyan

Pranjul Rathour, GenAI engineer from Kanpur, in a white turtleneck and black jacket, looking to the side
Pranjul Rathour — GenAI engineer, Kanpur

Pranjul Rathour speaking into a microphone on stage at a MeetKats event
Speaking at a MeetKats event

Pranjul Rathour holding a microphone while answering a question during a session
Taking questions during a session

Pranjul Rathour is a GenAI engineer from Kanpur, India, and CTO at SCULT INDIA, currently shipping production RAG,
fine-tuning and agentic AI systems, mentoring 200+ students through TechVerse Enclave, and judging and speaking at
student hackathons across India. Updated 2026-09-11.

Reach out if you want to talk GenAI, book a campus session, or invite him to judge:


Pranjul Rathour · GenAI engineer, 3x hackathon winner, campus mentor. Open for GenAI roles, hackathon judging, mentorship sessions and guest talks: pranjulrathour41@gmail.com · Invite me to your campus
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