Retail & e-commerce
Product tagging, attribute extraction, and visual search training data.
Computer Vision
Image Annotation Services
Precise, QA-verified image labeling for classification, detection, and segmentation across any domain.
Overview
Image annotation is the foundation of every vision model, and quality compounds: a 2% labeling error becomes a production failure. Vidyut Data's trained annotators work from your labeling guide with multi-tier QA — consensus review, gold-set benchmarking, and statistical sampling — to deliver image datasets that hit agreed accuracy SLAs, whether the job is 10 classes or 10,000.
What's included
- ✓Image classification and multi-label tagging
- ✓Object detection with bounding boxes and polygons
- ✓Attribute annotation (occlusion, truncation, pose, state)
- ✓Hierarchical taxonomies with thousands of classes
- ✓Edge-case escalation and guideline iteration loops
- ✓Output in COCO, Pascal VOC, YOLO, or your custom schema
Use cases
Medical imaging
Radiology and pathology image labeling with clinician review.
Security & surveillance
Person, vehicle, and event detection datasets.
Manufacturing QC
Defect detection labels for automated visual inspection.
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 forimage annotation services?
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 yourimage annotation services?
Start with a pilot batch — see our quality on your data before you commit.