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Michael Abramov

Michael Abramov

Beginner's Guide to Semantic Segmentation

Beginner's Guide to Semantic Segmentation

Three types of image annotation can be used to train your computer vision model: image classification, object detection, and segmentation. Image classification and object detection are fairly straightforward — the former involves labeling the object featured in an image while the latter takes the same process a step further by introducing

An In-Depth Look at Video Annotation

An In-Depth Look at Video Annotation

Today’s cutting edge computer vision based AI models are required to operate within an increasingly complex, dynamic and fast changing world. In order to reliably function within moving, real-time environments AI systems require training with high-quality annotated video data. To create this data annotators use digital platforms to apply

Data Annotation for Military AI Applications

Data Annotation for Military AI Applications

Computer vision based AI models are being deployed in military contexts. The use of AI in weapon systems is a complex and controversial area, the practical and moral implications of which are still being debated by thought leaders and policy makers. However, AI powered military technology is increasingly being harnessed

Ensuring Data Quality With Outsourcing

Ensuring Data Quality With Outsourcing

“Poor data quality is enemy number one to the widespread, profitable use of machine learning.” – Tomas C. Redman, Harvard Business Review, If Your Data Is Bad, Your Machine Learning Tools Are Useless The most exciting, innovative machine learning projects in development today are reliant on access to quality data. Inaccuracies

The Importance of Training Datasets for Machine Learning Models

The Importance of Training Datasets for Machine Learning Models

While learning from experience is natural for the majority of organisms—even plants and bacteria—designing machines with the same ability requires creativity, experimentation, and persistence. And yet the potential for machine learning is limitless. A number of the most anticipated applications for machine learning have sprung from the subfield

Streamlining Airport Operations with AI

Streamlining Airport Operations with AI

The COVID-19 pandemic has had a dramatic effect on the airline industry. The International Air Transport Association reported that the industry suffered an US$84 billion loss in revenue for 2020. Across the globe airports are experiencing an unprecedented decline in passenger numbers as governments restrict travel and impose strict

Computer Vision Applications for Retail Banking

Computer Vision Applications for Retail Banking

Commercial banks have long been leaders in the implementation of AI, with early adoption of machine learning practices helping them to refine trading strategies and assess risk. Now retail banking is one of the industries at the forefront of incorporating computer vision based AI models into their businesses. However, viability