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Michael Abramov

Michael Abramov

Easing the Management Burden with Data Annotation Outsourcing

Easing the Management Burden with Data Annotation Outsourcing

Creating and annotating the quantities of image and video data required for computer vision based AI projects to succeed is a significant challenge. Coordinating large volumes of time consuming, accuracy dependent work across a large, distributed workforce necessitates conscientious management. This burden of management can distract from the core mission

How AI and Annotation are Changing the Oil and Gas Industry

How AI and Annotation are Changing the Oil and Gas Industry

In the never ending search for growth and efficiency savings the oil and gas industry is turning to computer vision based AI models. Machine learning technologies can help to stabilise profits in an unpredictable world and changing market. The digitization of the industry also promises to improve worker safety and

Diagnosing Skin Conditions with the Help of Image Annotation

Diagnosing Skin Conditions with the Help of Image Annotation

Skin conditions are one of the most common ailments that patients present primary care physicians with. They present a challenge because there are hundreds of potential diagnoses for very similar looking conditions. Access to specialist dermatologists is often limited meaning that doctors and nurses may not have all of the

Computer Vision Applications for Wildlife Conservation

Computer Vision Applications for Wildlife Conservation

Species across the globe are experiencing climate change, habitat loss, and poaching, a critical combination of pressures that will lead to mass extinction without effective action. However, protecting threatened wildlife populations is a daunting challenge for governments and NGOs. Lack of resources and expertise mean that environments in need of

Polygon Annotation for Precision Agriculture

Polygon Annotation for Precision Agriculture

Agriculture is being made more efficient and more profitable by a new generation of computer vision based AI applications. These machine learning driven models can analyse crops and livestock and accurately infer a range of information from what they see. The implications of this technology are significant, precision agriculture will

Video Annotation in Focus

Video Annotation in Focus

What is video annotation Many computer vision models are designed to interpret and operate within chaotic, moving, real-world environments. Video annotation helps AI to function effectively in these spaces by applying information to video footage. This information is generally added to videos by human annotators who apply outlines and labels

Image Annotation for Deep Learning

Image Annotation for Deep Learning

Defining image annotation Image annotation gives machine learning models information about what a given image is showing. In most cases this information is applied to datasets by human annotators who highlight and label relevant parts of images in accordance with the needs of machine learning developers. Image annotation allows researchers