The focus of our Computer Vision blog series to date has been focused on understanding the limitations, benefits, and complexity of applied computer vision. Machine learning is a broader field that encompasses numerous methods, including computer vision and more organisations are beginning to see the value in its application to their day-to-day operations.
If you’ve been following our "Computer Vision" blog series, you will have gained an appreciation for the complexity and effort involved in preparing data before it can be modelled. Previously we discussed data sampling, this time we will cover another important step in the pipeline called data augmentation.
On 11th November (during Road Safety week), Abley held an industry breakfast event in conjunction with the Australasian College of Road Safety. The event included presentations from Bryan Sherritt (Auckland Transport), Hamish Mackie (Mackie Research & Consulting) and Jeanette Ward (Abley) on topics relating to creating safe urban environments for people.
In our previous computer vision blog, we talked about how big data can be managed in the context of computer vision. As part of that discussion, we mentioned that selecting a smaller sample from a much later dataset can be a practical strategy for handling big data for computer vision applications. There are many ways to define a sample. These sampling strategies are not unique to computer vision but are rooted in statistics. This blog will look at more traditional methods based around random sampling, as well as a machine learning option and why these samples are important.
Think about this for a second: globally, men die six years earlier than women. To make it worse, the reasons are largely preventable. One in eight men across the world will be diagnosed with prostate cancer in their lifetime. Testicular cancer is the most common cancer among young men. Three quarters of suicides globally are men. Pretty shocking, right?
In recognition of Road Safety Week 2020, Abley partnered with the Australasian College of Road Safety (ACRS) to run a breakfast seminar on "Creating Safe Urban Environments".