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Dr. Satya Mallick is an expert in Computer Vision and Machine Learning. In Feb. 2017, IBM’s AI blog named him among the top 30 most influential AI experts to follow
In this post, we will develop an intuitive sense for an important concept in Machine Learning called the Bias-Variance Tradeoff. Before we dive into the subject, allow me to go
Life was good the last time you installed OpenCV on your Mac. You instantly brewed it and thanked the good folks at Homebrew. All it took were these few commands.
A few weeks back we wrote a post on Object detection using YOLOv3. In this post we will discuss Mask RCNN in OpenCV. The output of an object detector is
Most of us have looked in the mirror and wondered how good we look. But, it is often difficult to be objective while judging our own attractiveness, and we are often
Let’s say you want to compile and run the face detection sample code that comes with the OpenCV. This code is located at OpenCV 2.4.x : /path/to/opencv/samples/c/facedetect.cppOpenCV 3 : /path/to/opencv/samples/cpp/facedetect.cpp
For over a decade, progress in deep learning has been framed as a story of better architectures. Yet beneath this architectural narrative lies a deeper and often overlooked question –
Understanding large GitHub repositories can be time-consuming. Code-Analyser tackles this problem by using an agentic, approach to parse and analyze codebases.
SAM 3D is Meta’s groundbreaking foundation model for reconstructing full 3D shape, texture, and object layout from a single natural image. Learn how it works.
Yet another SOTA model from META, meet SAM-3. Learn about what's new and how to implement your own tracking pipeline using SAM-3.
Deploying ML on Arduino Nano 33 BLE. Explore TinyML techniques, setup steps, and why older Arduinos still rival the new Arduino Uno Q.
