Where the Machines are Looking

When to trust a computer vision model.

What is this about? In this post, I probe the decision-making process of a neural network model, and expose an example of errant model performance in one of the most popular pre-trained networks. Why should I care? Neural networks are often considered to be black-box models, whose decisions are made... [Read More]
Tags: computer-vision, deep-learning

Object Detection and Segmentation in Python with Mask-RCNN

Visual examples and discussion on the uses of object detection and object segmentation with Mask R-CNN.

What is this about? In this post, I walk through some hands-on examples of object detection and object segmentation using Mask R-CNN. Why should I care? Besides being super cool, object segmentation can be an incredibly useful tool in a computer vision pipeline. Say you are training a CV model... [Read More]
Tags: computer-vision, deep-learning