Quality data labeling fuels infrastructure health. Learn how to achieve ML model accuracy, performance, & scalability to extend asset life.
How CTOs and VPs of product and machine learning can navigate key agtech hurdles using AI-powered data labeling for sustainable growth and profitability.
Happy Birthday, Accelerated Annotation! It's been a year of providing clients with the quality training data needed to launch your models fast.
Learn the four workforce traits crucial for high-quality ML datasets. Avoid costly rework and boost your AI project's success.
Segmentation labeling can help scale your business. Master pixel-perfect image annotation, tackle challenges, and discover best practices and tools.
Discover the power of Vision Transformers (ViTs) in data labeling. Learn how ViT models outperform CNNs, ensuring superior image classification and segmentation.
This post discusses accelerating AI development with active learning, a machine learning method that prioritizes the most informative data for labeling.
Discover the power of foundation models for Vision AI. Supercharge your workflow, save time, and boost performance.
A resource to create A+ data annotation guidelines that will lead to high-quality AI models, cost savings, and improved business operations.
Uncover the four layers of automated data labeling—pre-labeling, pre-trained models, hosting, and technology—to achieve faster and smarter AI goals.
This blog post uses Maslow's hierarchy of needs to illustrate how business leaders can build a machine learning (ML) solution foundation.
ML models need a foundation of data, annotation, and optimization to succeed. Learn how with a technical spin on Maslow's hierarchy of needs.
AI innovators who value high-quality data labeling. We help scale data annotation with skilled annotators, predictable pricing, and quick turnaround times.