Michael Abramov

Data creation defined Finding the right image and/or video data for computer vision based machine learning projects can be challenging. The vast majority of data for AI training is collected from open sources such Imagenet and Google Open Images. Datasets assembled from online repositories are then annotated using annotation

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

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

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

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

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