Tag: Detection

Decoding Thoughts with Deep Learning: EEG-Based Digit Detection using CNNs

The muse dataset from the MindBigData EEG database is being used here for the training. The dataset being used contains 163,932 brain signals of 2 seconds each, captured with the stimulus of seeing a digit (from 0 to 9) and thinking about it, from a single Test Subject&...

How Detection Limits Affect Cancer Diagnoses

Cancer is a nasty word that all of us would never want to get one day. Neither would we want to wish it on anyone. It is a very depressing and sobering thought to either have cancer or know of a close friend/family member who has cancer. We rejoice with them, though, when the medical tests sho...

Instance segmentation of objects with lane detection on road.

Instance segmentation is extensively found in applications of medical imaging, object detection and many computer vision applications. One such application is this project where vehicles or different object surrounding the car are detected and identified which belong to a particular class. This p...

Object Detection For Autonomous vehicles(CitySegNet)

We use DUC (Dense upsampling convulution ) which is a CNN based model for semantic segmentation which uses an image classification network (ResNet) as a backend and achieves improved accuracy in terms of mIOU score using two novel techniques. The first technique is called Dense Upsampling Convolutio...

Vehicle Detection with HOG and Linear SVM

A class of objects such as a vehicle vary so much in color. Structural cues like shape give a more robust representation. Gradients of specific directions captures some notion of shape. To allow for some variability in shape, we’ll use features known as Histogram of Oriented Gradients (HOG). ...

Self-Driving Cars ??? Lane Detection Part II

Welcome back to the second and final edition of our exploration into the fascinating world of self-driving cars, namely in Lane Detection. If you missed the first part of this journey, don’t worry, you can catch up right here: Self Driving Cars — Lane Detection In the initial par...

Building a lane detection system

 reading several articles I found that , each of these preprocessing steps are data set dependent. Lane lines are always yellow and white. Yellow can be a tricky color to isolate in RGB space, so lets convert instead to Hue Value Saturation or HSV color space. You can find a target...

Bypass Android Applications Debug and Root Detection via debugger.

I was going through OWASP MASTG for Android/iOS pentesting techniques. For learning Android/iOS pentesting, one can refer to this e-book. While reading, I came up with debug techniques to bypass root detection or modify the hidden variables. What is Debugging and how it helps in securit...