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Atri Saxena

Working in the IT industry for 3+ years as a Software Engineer. Interested in field of Machine Learning, python and Cloud.

Generative AI: Boon or Bane

Generative AI is currently one of the hottest topics in the AI space. In this blog we will have the following goals: In Generative AI people ask these questions very much: 1. What is Generative AI? Generative AI is the…

Object Tracking: Object detection + Tracking using ByteTrack

A simple yet effective and association method to track objects by associating almost every detection box instead of just the high scores one. The goal of this blog is to cover ByteTrack and techniques for Multi-Object Tracking (MOT). We will also cover running YOLOv8 object detection with ByteTrack tracking on a sample video.

Understanding Diffusion And Stable Diffusion in AI

After the Generative Adversal Networks (GANs), Variational Auto Encoders (VAE), and Flow-based models, Diffusion Models are the latest research in generative models that can generate diverse high-resolution images. These models also attracted a lot of attention after OpenAI, Google, and…

Detecting Car Damage using YOLO

You might have heard of ADAS (Advanced driver assistance systems) in many cars nowadays, which are smart enough to detect the human in front of the car and apply brakes automatically. Have you thought what is the technology behind that? Leading car Manufacturers have stepped in to integrate ADAS into their cars. Existing ADAS technologies operate on visual cameras, RADARs, and LiDARs for the object detection. ADAS mainly depends on features such as high speed, high accuracy, low cost, and low power consumption.