Visual Search & Product Discovery
Attribute and category tagging that powers image-based search and “shop the look” style recommendation engines.
Computer Vision
Image Annotation Services
Precise, QA-verified image labeling for classification, detection, and segmentation — across any domain.
Overview
Image annotation sits at the foundation of every vision model, and small errors don't stay small — a 2% labeling mistake at the data layer can surface as a real production failure downstream. Vidyut Data's trained annotators work from your labeling guidelines and pass every batch through layered QA — peer consensus, gold-standard benchmarking, and statistical sampling — to deliver datasets that consistently meet agreed accuracy targets, whether you're working with 10 classes or 10,000.
What's included
- ✓Image classification and multi-label tagging
- ✓Object detection using bounding boxes and polygons
- ✓Attribute-level annotation (occlusion, truncation, pose, state)
- ✓Support for hierarchical taxonomies with large class counts
- ✓Edge-case escalation with iterative guideline refinement
- ✓Delivery in COCO, Pascal VOC, YOLO, or your custom schema
Use cases
Agriculture & Crop Monitoring
Labeled imagery for identifying crop health, pest damage, and growth stages from drone or field-camera footage.
Manufacturing Quality Control
Defect and anomaly labeling to train automated visual inspection systems on production lines.
Content Moderation
Labeling for identifying policy-violating, sensitive, or restricted image content across user-generated platforms.
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.