LabelWorks

Weak/supervised semi-supervised labeling and label quality evaluation

Product category: Labeling / Data governance

Applicable platforms: Web, Python SDK

Technical affiliation: Weak Supervision, Active Learning

Programming language affiliation: Python, TypeScript

Tags: #Labeling #WeakSupervision Product

Type: Labeling / Data governance

LabelWorks builds high-quality labels through rules, teacher models, and active learning, and provides consistency/conflict detection, gold standard sampling, and drift monitoring. For time series projects, it supports event/anomaly/cycle class labels; for multimodal, cross-modality alignment labeling; for policy/decision, track replay and reward label auditing. It treats labels as governable assets (versions, quality scores, audit tracks), significantly reducing hidden risks of "data correct but labels wrong", letting training and evaluation build on a trustworthy foundation.

Delivery method: Instant digital download after purchase
License: Single-user commercial license
Usage limit: One-time use
Support: Technical documentation provided in the delivery file; no human technical support included