The largest hurdle we face with machine learning is training data. And, it’s not just the amount of training data that’s difficult to overcome but equally, the quality of training data. It’s a big problem and one that can be significantly compounded by “biases” in the data.
Over 500 industry leaders, academics, users, government officials and other interested parties gathered at Auckland’s fantastic ASB Bank Waterfront Theatre last week to discuss the advancements in AI and how they are shaping our future.
In the second blog in our series on processing underwater video, I’ll discuss some of our data gathering and classification techniques leading in to our next blog post which discusses semantic segmentation and object detection.
Lynker Analytics have been in the office for just over a week now and today marks the official launch of our website and presence on social media. This seems like a good time for my first blog post.
