LibriVox
Free public domain audiobooks read by volunteers from around the world.
Enterprise-grade data labeling platform for high-precision AI model training and validation.
Alegion, now integrated under the iMerit ecosystem, is a premier data labeling platform architected for complex, high-stakes AI initiatives. In 2026, it remains a critical infrastructure component for Fortune 500 companies developing autonomous systems, medical diagnostics, and advanced NLP. The platform's technical architecture excels in multi-modal data processing, allowing for the seamless integration of video, LIDAR, and unstructured text. Unlike basic annotation tools, Alegion utilizes a proprietary 'Active Learning' engine that identifies high-uncertainty data points, significantly reducing labeling volume while increasing model accuracy. Its 2026 market position is defined by 'Model-Ready Data'—not just raw labels, but validated, high-quality ground truth that satisfies the rigorous audit trails required for regulated industries like healthcare and aerospace. The platform features an advanced workforce management layer, sophisticated quality control workflows (Gold Standard, Consensus, and Peer Review), and a robust API for CI/CD pipeline integration, making it the preferred choice for Lead AI Architects focused on scale and reliability.
Uses model uncertainty scores to prioritize which data points require human labeling, optimizing labeling budgets.
Free public domain audiobooks read by volunteers from around the world.
The gold-standard conversational telephone speech corpus for enterprise-grade ASR and NLU development.
The industry-standard public domain dataset for neural text-to-speech synthesis and voice modeling.
High-quality multimodal AI training data for global enterprise scale.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Synchronizes 2D camera images with 3D LIDAR point clouds for precise spatial annotation.
Workflows that route tasks based on previous labels (e.g., if 'Car' is found, route to 'License Plate' task).
Automated linear and non-linear interpolation of bounding boxes and polygons across video frames.
Automatic insertion of pre-labeled 'test' tasks to continuously monitor annotator accuracy.
Native support for medical imaging formats with specialized tools for radiologist-level annotation.
Algorithmic detection of outliers in the dataset that might cause model drift or failure.
Need for ultra-precise 3D bounding boxes and semantic segmentation across thousands of hours of drive footage.
Registry Updated:2/7/2026
Validate via 3-way consensus
Identifying thousands of small SKUs on messy grocery shelves for automated checkout systems.
Labeling anomalies in MRI/CT scans with high clinical accuracy.