Categories Computer Vision

35 posts

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IoT JumpWay Intel® Nervana AI / Colfax TASS Trainer

There have been many versions of the TASS computer vision projects over the years, one being a version built on a Raspberry Pi 3 using a program based on the Tensorflow Inception V3 transfer learning example. The Colfax TASS Trainer replicates the transfer learning side of the original program and is […]

AVA: The Art and Science of Image Discovery at Netflix

Authored by — Madeline, Lauren, Boris, Tim, Parth, Eugene and Apurva Introduction At Netflix, the Content Platform Engineering and Global Product Creative teams know that imagery plays an incredibly important role in how viewers find new shows and movies to watch. We take pride in surfacing the unique elements of a story that […]

Snapchat’s Filters: How computer vision recognizes your face

The science behind personalized facial recognition In those moments of boredom when you’re playing with Snapchat’s filters — sticking your tongue out, ghoulifying your features, and working out how to get the flower crown to fit exactly on your head — surely you’ve had a moment where you’ve wondered what’s going on, on a […]

Vehicle Detection and Tracking From a Front-Face Camera

Udacity Self-Driving Engineer Nanodegree — term 1, assignment 5. Goal This is the report created for the fifth and final assignment of the first term of Udacity Self-Driving Car Engineer Nanodegree. The challenge was to create an algorithm that detects other vehicles on the road, using video acquired using a front-face camera. […]

What is mAP ? Understanding the statistic of choice for comparing object detection models

What is mAP ? Understanding the statistic of choice for comparing Object Detection models For most common problems that are solved using machine learning, there are usually multiple models available. Each one has its own quirks and would perform differently based on various factors. Each model is judged by its performance over a […]

MIT 6.S094: Deep Learning for Self-Driving Cars 2018 Lecture 5 Notes: Deep Learning for Human…

MIT 6.S094: Deep Learning for Self-Driving Cars 2018 Lecture 5 Notes: Deep Learning for Human Sensing You can find me on Twitter @bhutanisanyam1, connect with me on Linkedin hereHere and Here are two articles on my Learning Path to Self Driving Cars You can find the Markdown File Here You can find the […]

MIT 6.S094: Deep Learning for Self-Driving Cars 2018 Lecture 4 Notes: Computer Vision

You can find me on Twitter @bhutanisanyam1, connect with me on Linkedin hereHere and Here are two articles on my Learning Path to Self Driving Cars You can find the Markdown File Here You can find the Lecture 1 Notes hereLecture 2 Notes can be found hereLecture 3 Notes can be found here […]

MIT 6.S094: Deep Learning for Self-Driving Cars 2018 Lecture 3 Notes: Deep Reinforcement Learning

You can find me on Twitter @bhutanisanyam1, connect with me on Linkedin hereHere and Here are two articles on my Learning Path to Self Driving Cars You can find the Markdown File Here You can find the Lecture 1 Notes hereLecture 2 Notes can be found here These are the Lecture 3 notes […]

MIT 6.S094: Deep Learning for Self-Driving Cars 2018 Lecture 2 Notes

You can find me on Twitter @bhutanisanyam1, connect with me on Linkedin hereHere and Here are two articles on my Learning Path to Self Driving Cars You can find the Markdown File Here You can find the Lecture 1 Notes here These are the Lecture 2 notes for the MIT 6.S094: Deep Learning […]

Pinterest’s Visual Lens: How computer vision explores your taste

The science behind personalized visual recommendations When it comes to looking for something you want to try — a new salad recipe, a new classy dress, a new chair for your living room — you really need to see it first. Humans are visual creatures. We use our eyes to decide if something looks […]