DATA ANNOTATION SERVICES
Based on the unique needs of AI and machine learning projects, we provide comprehensive, high-accuracy data annotation services to help organizations build smarter models. Rafiki’s expert teams work as an extension of your data science efforts, delivering precisely labeled datasets for supervised learning across various industries.
Our data annotation solutions are tailored for text, image, audio, and video formats. From bounding box and segmentation for computer vision to entity recognition in natural language processing, we support a wide range of use cases. Each project undergoes multi-tiered quality checks to ensure maximum accuracy and consistency.
We align our annotation workflows with your model requirements, enabling faster training cycles and better predictions. With a secure infrastructure, scalable team size, and deep domain knowledge, we help you accelerate AI development while minimizing internal operational load.
Our services are fully customizable, allowing you to define guidelines, annotation tools, and review processes to suit your project’s scale and complexity. We ensure that the labeled data is not just accurate, but also purpose-fit for your AI success.
What We Offer
- Image Annotation – Bounding boxes, segmentation, key points, polygons
- Video Annotation – Frame-by-frame object tracking and tagging
- Text Annotation – Named Entity Recognition (NER), sentiment labeling, document classification
- Audio Transcription & Labeling – Speaker identification, timestamping
- Custom Labeling Schema – Tailored for your unique model or business case
- Quality Assurance Workflows – Multi-level review for 98%+ accuracy
Contact Information
Head office (INDIA)
Branch Office (CANADA)
19 Berberis crescent, Brampton, Ontario L7a0v4,
Plant address (Printing Unit)
Plot no.1760, Sec-38, Phase 1, Rai, Industrial estate, District Sonipat, Haryana 131029.
+91 9560085485
info@rafiki.co.in
hr@rafiki.co.in
About Us
The learning industry is evolving rapidly along with technology advancements. Organizations are moving out from just creating basic training to high-end sophisticated learning that is delivered across various platforms and devices.
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