From casual to cultured, the iMerit blog tackles a wide array of topics related to security, expertise, and flexibility in the Artificial Intelligence and Machine Learning data-enrichment marketplace.
Oct 10, 2025
In 2022, the global autonomous vehicle (AV) market was valued at USD 1.5 trillion. By 2030, it is projected to
Aug 14, 2025
As the demand for accurate transcription grows across healthcare, voice AI, accessibility technology, and digital assistants, speech-to-text (STT) annotation is
Aug 14, 2025
2D video annotation is vital for training robust AI models in industries such as autonomous vehicles, medical imaging, surveillance systems,
Aug 14, 2025
2D image annotation is essential for developing accurate AI models across various industries, including healthcare, autonomous driving, retail analytics, and
Aug 14, 2025
High-quality annotated image data is the foundation of any successful computer vision AI model. From object detection and segmentation to
Aug 14, 2025
DICOM annotation is a cornerstone of developing reliable AI-powered radiology solutions. By accurately labeling and segmenting medical images, AI models
Aug 13, 2025
How Foundation Models Are Transforming Pathology AI Foundation models are reshaping how we think about medical data labelling and training.
Aug 13, 2025
Radiology is leading the charge in medical AI, with startups and healthcare providers racing to build FDA-cleared tools for early
Aug 13, 2025
As AI systems grow more powerful and embedded in real-world decisions, model evaluation becomes just as important as training. Today’s
Aug 13, 2025
If you’re building AI for tumor detection, biomarker quantification, or cell-level segmentation, choosing the right annotation partner and tooling platform
Aug 13, 2025
Building an AI model that can generate coherent content is one thing. Building one that performs to expert standards is
Aug 13, 2025
When human annotators disagree, it raises a critical question: how can we trust an AI model trained on that data?
Aug 8, 2025
Training perception systems for autonomous vehicles, robotics, and drones requires more than just labeling images or point clouds in isolation.