Large-scale detection
Millions of boxes verified at a fraction of manual cost.
Advanced & 3D Labeling
AI Assisted Labelling
Model-in-the-loop pre-labeling that accelerates throughput while experts verify every prediction.
Overview
The fastest annotation pipelines don't choose between humans and models — they sequence them. Vidyut Data runs model-in-the-loop workflows where pre-trained or customer models propose labels and trained annotators verify, correct, and handle the cases automation gets wrong. Throughput rises dramatically while accuracy stays human-grade, and every correction becomes signal for the next model version.
What's included
- ✓Pre-labeling with your models or ours
- ✓Confidence-routed human verification queues
- ✓Active-learning loops that prioritize informative samples
- ✓Correction analytics that surface model failure modes
- ✓Throughput and cost reporting versus manual baselines
- ✓Tool-agnostic: works in your platform or ours
Use cases
Model bootstrapping
Rapid first datasets refined through iteration cycles.
Continuous learning
Production model outputs verified and fed back as training data.
Legacy dataset upgrade
Re-verify and densify old annotations with model assistance.
How we work
1
Scope & pilot
We review your data, define the labeling guide together, and run a paid pilot batch so you can judge quality before scaling.
2
Team & calibrate
A dedicated, trained team ramps on your guidelines, benchmarked against gold-standard tasks until accuracy targets are hit.
3
Produce & QA
Production batches flow through multi-tier QA — consensus review, statistical sampling, and edge-case escalation.
4
Deliver & iterate
Data ships in your format with accuracy reports. Guidelines evolve with your model's failure cases.
Frequently asked questions
How do you guarantee quality forai assisted labelling?
Every project runs through multi-tier QA: annotators are benchmarked against gold-standard tasks before production, batches are statistically sampled against agreed accuracy targets, and ambiguous cases are escalated and documented in a living labeling guide. You receive accuracy reports with every delivery.
Can we start with a small pilot before committing?
Yes — we recommend it. A paid pilot batch on your real data lets you evaluate our quality, turnaround, and communication before scaling. Pilot learnings become the project's labeling guide.
How is our data kept secure?
Client data is encrypted in transit and at rest, access is limited to the assigned project team under NDAs, and we support VPN-restricted or client-hosted workflows where data cannot leave your environment. Retention and certified deletion terms are set per engagement.
What tools and output formats do you support?
We work in your annotation platform or ours, and deliver in the format your pipeline expects — COCO, YOLO, Pascal VOC, JSON, CSV, or a custom schema — with delivery via API, cloud bucket, or scheduled export.
Ready to scale yourai assisted labelling?
Start with a pilot batch — see our quality on your data before you commit.