Jupiter AI Labs

Annotation Lab

Welcome to Annotation Lab by Jupiter AI Labs — a purpose-built environment designed to transform raw data into high-quality, production-ready training datasets. In AI and machine learning, model performance is only as strong as the data behind it. Annotation Lab ensures that your data is accurate, structured, and optimised for real-world deployment.

As highlighted in our internal process framework 

Annotation process – JAL-client…

High-quality data is the “secret sauce” that powers impactful AI systems. Annotation Lab brings together AI-assisted tools, expert human evaluation, and rigorous quality assurance to help you create that advantage.

Comprehensive Annotation Capabilities

Annotation Lab supports a wide range of data modalities and use cases:

  • Image Annotation: Bounding boxes, rotated boxes, polygons, polylines, cuboids, keypoints, and segmentation (semantic and panoptic).

  • Automatic Object Detection: Pre-label images using our pre-trained YOLO models covering 90+ common object classes.

  • Model-Assisted Labeling: Bring your own model via our Python SDK or let our team retrain and optimize models to accelerate labeling cycles.

  • 3D & Robotics (6DoF): Precise 3D annotation for object position, orientation, and robotic use cases, including point cloud labeling.

  • Video Annotation: Smart interpolation tools allow you to label keyframes while the system propagates annotations across frames. Our built-in video editor supports trimming, background correction, and object tracking.

  • OCR & Text Detection: AI-powered automatic OCR with support for handwritten text and multi-language detection.

  • LLM Training & RLHF: Human-in-the-loop evaluations, reinforcement learning from human feedback, coding tasks, and structured prompt-response training to refine large language models.

Built-In Quality & Observability

Annotation Lab prioritizes quality at every stage:

  • Triple-level Quality Evaluation Matrix

  • Inter-annotator agreement scoring

  • Ground truth accuracy measurement

  • mIoU and object-level performance analytics

  • Detailed per-user productivity tracking

With structured workflows, role-based permissions, release management, and real-time analytics, project managers gain full observability into progress, efficiency, and bottlenecks.

Enterprise-Grade Infrastructure

Security and scalability are foundational:

  • AWS-hosted infrastructure

  • ISO 27001 / ISO 27002:2022 compliant

  • GDPR & HIPAA compliant workflows

  • TLS SHA-256 encryption (in transit)

  • AES-secured cloud keys

  • Automatic backups (3x daily)

We scale rapidly — from small expert teams to 500+ annotators — while maintaining strict quality benchmarks.

Why Annotation Lab?

Annotation Lab combines AI-assisted automation with expert human validation, reducing turnaround time while elevating label precision. Whether you are training computer vision models, robotics systems, or large language models, we provide the tooling, governance, and scale to deliver reliable datasets.

Ready to build smarter AI with better data?
Connect with Jupiter AI Labs to learn how Annotation Lab can accelerate your next machine learning project.