Medical Imaging Annotation: Radiology and Pathology
In this blog, we unpack the role of annotation in radiology and pathology AI, the complexities unique to medical data, and how FlexiBench enables enterprise teams to scale compliant, specialist-driven annotation workflows without compromising on precision or privacy.
Aerial Image Annotation for Geospatial Analysis
In this blog, we explore the core techniques of aerial annotation, where it's used, what makes it uniquely challenging, and how FlexiBench enables enterprise teams to turn raw imagery into production-ready geospatial datasets.
Optical Character Recognition (OCR) Annotation
In this blog, we break down what OCR annotation entails, why it’s uniquely complex, and how FlexiBench enables scalable, compliant, and high-precision annotation pipelines for OCR-ready datasets.
Landmark Annotation for Facial Analysis
Facial landmark annotation powers deep learning models not just to detect the presence of a face, but to analyze what that face is doing—what emotion it's conveying, how it's moving, and how it changes over time. In this blog, we’ll explore how landmark annotation works, why it's foundational to facial analysis, and how FlexiBench enables high-fidelity, scalable workflows for enterprise teams deploying expression-aware AI systems.
Facial Recognition Annotation Techniques
In this blog, we break down the key annotation strategies used in facial recognition, their applications, the operational challenges involved, and how FlexiBench supports enterprise AI teams in building facial recognition pipelines that are accurate, scalable, and ethically sound.
Object Detection: Identifying and Locating Objects
In this blog, we explore what object detection is, how annotation workflows power its success, the technical considerations involved, and how FlexiBench enables teams to scale detection labeling across diverse datasets, reviewers, and deployment scenarios.
