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Category: Other

Visualizing Object Detections

Exciting new ways to troubleshoot and understand your object detection models This is a guest post written by Eric Hofesmann Introduction Recent years have shown a spike in computer vision (CV) applications, namely self-driving cars, robotics, medical imaging, and many others. One CV task that links many of these applications is object detection. The purposes of object detection are to identify what and where certains things are in images. To do that you need to…
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I performed Error Analysis on Google’s Open Images dataset and now I have trust issues

I analyzed the Open Images dataset with a SOTA object detection model and found that over 1/3 of all false positives were annotation error, not model error. This is a guest post written by Tyler Ganter An example of a false positive caused by missing ground truth on the Open Images dataset Modern Benchmark Datasets As the performance of deep learning models trained on massive datasets continues to advance, large-scale dataset competitions have become the…
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#011 How to detect eye blinking in videos using dlib and OpenCV in Python

We already learned what facial landmarks are and how to detect them. Now we are ready to expand that knowledge and put it into the practice to solve other similar problems. In this post we are going to explain how we can detect and count eye blinking in videos. To develop an eye blinking detector, we need to detect facial landmarks of the eyes, and then we need to calculate the aspect ratio between these…
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#010 How to align faces with OpenCV in Python

Highlight: In this post we are going to demonstrate how to apply face alignment using OpenCV and Python. Face alignment is one important step that we need to master before we start to work on some more complicated image processing tasks in Python. So, let’s see what face alignment is and why this method is necessary if we want to achieve higher accuracy in face recognition algorithms. Tutorial Overview: What is face alignment? Face alignment…
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#009 How to detect facial landmarks using DLIB and OpenCV

Highlight: In this post you are going to learn how to detect facial landmarks in an image using dlib and OpenCV. This knowledge will be useful, since facial landmarks are the key features in a large number of facial analysis methods and algorithms. Face recognition, face alignment, facial expression recognition, face swapping, drowsiness detection, blink detection, head pose estimation, are the few examples in which facial landmarks play a fundamental role. let us see what…
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