labelFrom noise to ground truth.
Thousands of annotators. One pipeline. Every bounding box, polygon, and classification tag — delivered with a 99.2% accuracy SLA.
Build your project budget before the sales call.
Real numbers from 4.2M completed tasks. No fluff, no bait-and-switch — just cost, time, and accuracy for your exact workload.
Every pixel placed with intent.
Zoom into real annotation outputs across verticals. Each sample shows the label, confidence score, and dual-review chain.
One import. Infinite ground truth.
Drop Label into your existing ML pipeline in under 5 minutes. Native support for COCO, YOLO, and Pascal VOC output formats.
WORKS WITH YOUR STACK
OUTPUT FORMATS
| 1 | from label import LabelClient |
| 3 | # Initialize with your license key |
| 4 | client = LabelClient(api_key="lbl_sk_••••••••") |
| 6 | # Submit a bounding box annotation job |
| 7 | job = client.jobs.create( |
| 8 | annotation_type="bounding_box", |
| 9 | dataset_url="s3://your-bucket/frames/", |
| 10 | labels=["car", "pedestrian", "cyclist"], |
| 11 | turnaround="standard", |
| 12 | accuracy_sla=0.992, |
| 13 | ) |
| 15 | # Poll until complete |
| 16 | result = job.wait() |
| 17 | print(f"Accuracy: {result.accuracy:.1%}") |
| 18 | # → Accuracy: 99.4% |
The 99.2% SLA isn't a marketing number.
Every annotation passes a 4-stage pipeline before delivery. Here's exactly how we get there — with the math to back it up.
QUALITY METRICS — LIVE
Kappa score across all active annotators this month
Labels accepted without revision on initial review
Minimum agreement before a label is finalized
Percentage of tasks re-reviewed by senior QA team
Guaranteed accuracy after consensus + audit pipeline
4-STAGE QA PIPELINE
3 independent annotators label each item with no cross-visibility
Items with <95% agreement flagged for expert review — Fleiss' Kappa calculated
18% random sample + all flagged items reviewed by domain-specialist auditors
48-hour window to flag edge cases before final export. Disputes resolved free.
Accuracy Guarantee
If final accuracy falls below your contracted SLA, we re-annotate the affected batch at no charge. No questions, no forms.
Download the Labeling SDK
License key delivered to your inbox. No credit card required for the first 1,000 annotations.
SELECT PLATFORM
WHAT'S INCLUDED
Free tier: 1,000 annotations
Bounding box, classification, or NER — your choice. No expiry on the free tier.
Full SDK documentation
Interactive API reference, quickstart guides, and example notebooks for PyTorch and TF.
Webhook + polling support
Real-time job updates via webhook or synchronous polling — works with any pipeline.
SOC 2 Type II compliant
Your data stays encrypted at rest and in transit. BAA available for HIPAA workloads.
Slack channel access
Direct line to our ML integration team. Response time under 2 hours during business hours.
David Chen
ML Lead, Waybridge Autonomy
"We went from 6 weeks of in-house annotation to 4 days on Label. The COCO export dropped straight into our training pipeline."