#object-detection

Classification vs Segmentation vs Detection in image

These terms: classification, detection and segmentation all seems to define same meaning as identifying a particular object in an image…

Google Street View Blurring System: ML System Design

Google street view Blurring System is a technology in Google Maps that provides street-level interactive wide-angle view of many public…

LocateAnything: How NVIDIA Made Bounding Box Detection 10 Times Faster by Rethinking How Boxes Are…

There is an assumption buried inside nearly every modern vision-language model that handles object detection and visual grounding. It is so…

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Benefits of Automatic Number Plate Recognition for Businesses

From automated gate access and vehicle monitoring to enhanced security and operational efficiency, ANPR systems offer numerous advantages…

You Only Look Once: How One Idea Taught Machines to See in Real Time

A friendly tour of YOLO — what it is, how it works, and why it quietly powers everything from self-driving cars to the camera that counts…

LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding

기존 연구의 한계 (Problem Statement)

Top 10 Object Detection Sensors and How They Work

Introduction

NVIDIA LocateAnything vs YOLO: Which AI Model Is Better for Object Detection?

Introduction

Mengenal YOLO dan Cara Kerjanya

Gara-gara skripsi, gw jadi belajar tentang YOLO.

The Engineer’s Guide to YOLO Object Detection

Build, Tune, Deploy YOLO Object Detection Models

Reviving My YOLO Object Detection Album on AWS

This week I revived an old university assignment: an object detection photo album.

Building DETR from Scratch: An End-to-End Walkthrough of Object Detection with Transformers

1. Introduction

How I Built an AI-Powered System That Detects Shoulder Surfers Using a Webcam

Protecting digital privacy with computer vision and real-time risk assessment.

Your Face Just Gave Away a Secret: Can AI Detect Lies, Emotions, and Intentions?

Imagine Walking Into a Room Where Nobody Speaks

LightGlue: Now we can match features as fast as humans

How sparse Transformer matching becomes faster without sacrificing accuracy

Computer Vision Weekly #1: YOLO26 and the Push Toward Simpler Real Time Vision

Welcome to the first issue of Computer Vision Weekly, a weekly roundup of the most interesting developments in computer vision, object…

Computer Vision with YOLO26: Detecting PPE Usage in Construction

In this article, we will learn what computer vision is, what YOLO26 is, and see a practical example of its use in the construction industry.

Best Object Detection Models for Computer Vision in 2026

Introduction

Comparing YOLO 8 and GCP AutoML for Object Detection

Introduction

LocateAnything by Nvidia AI

Recent vision-language models rely on a single concept: treating absolutely everything as a text generation problem. Images, user prompts…

Helmet Detection with YOLOv8: Model Training and Experiment Analysis

A practical object detection project comparing epochs, model size, image size, and transfer learning on a small helmet dataset.

How Computer Vision Is Transforming Industries Around the World

Artificial Intelligence has made remarkable progress over the past decade, but one of the most impactful areas is computer vision.

Sliding windows in convolutions

A sliding window is a technique in computer vision and signal processing where a small fixed-size window moves step-by-step across data…

Akıllı Ulaşım Sistemlerinde Görüntü İşleme Teknolojisi Kullanılarak Araç Hız Tespiti Nasıl…

Bir trafik kamerası size bir aracın kaç km/h hızla geçtiğini söyleyebilir mi? Yazılım katmanı olmadan hayır. Bu yazı, bu yazılım katmanını…

When "sync.Pool” actually helps (and when it doesn't)

The pitch (and the trap)

Build a Poker Hand Scanner: Card Recognition API Guide

Integrating a dedicated card recognition api into your workflow empowers software teams to inject production-ready computer vision into…

How I converted a Yolo model into CoreML

How I converted a YOLO Model into CoreML, from data preparation and training to exporting the final .mlmodel file.

Best Object Detection Models for Computer Vision [2026 Updated]

Object Detection Model You Need to Know (And When to Use Each)

Rethinking Computer Vision: Designing Custom Video Interfaces with YOLO11 and OpenCV

The world of computer vision moves incredibly fast, and the arrival of YOLO11 has raised the bar for real-time object detection efficiency…

YOLO-World Model: The Future of Open-Vocabulary Real-Time Object Detection

Introduction

We’ve reduced the cost of computer vision by a million times

This is not an advertisement, but just the facts. Although it looks like an advertisement, it’s just the facts.

I Thought Object Detection Was Just Drawing Boxes. I Was Very Wrong.

Muhammad Ishfaq — AI Student, Peshawar

Computer Vision — Object Detection (YOLO26)

Computer Vision

Professional Vision Analytics: Mastering YOLO11 Tracking with PiP Overlays

Modern computer vision is no longer just about drawing static boxes around objects; it is about extracting actionable, persistent…

AI in the Greenhouse: Mastering Tomato Disease Detection with PyTorch

Modern agriculture is undergoing a massive digital transformation, and at the center of this revolution is the ability to “see” what is…

How the Image Signal Processor Makes or Breaks AI Pose Estimation: Lessons from Huawei Pura 90’s AI…

Huawei just built a phone that tells you how to pose for a photo.

Efficiency vs. Precision: A Python Deep Dive into Faster R-CNN and SSD PyTorch

In the rapidly evolving landscape of artificial intelligence, selecting the optimal architecture for computer vision is rarely a simple…

YOLO26 on AzureML: The Ultimate Guide to Scalable Object Detection in 2026

Introduction

How I Trained a Custom YOLO Model to Spot African Wildlife

Computer vision holds incredible potential when it comes to observing animals in their natural environments. This article provides a…

Training an AI to Identify 43 Military Aircraft

Imagine trying to teach a machine to distinguish between the subtle silhouette of an F-22 Raptor and an F-35 Lightning II across thousands…

A Beginner’s Guide to Military Vehicle Detection Using YOLO and Aerial Imagery

In this post, I have prepared a beginner-friendly object detection pipeline using a very basic dataset with YOLO11 and YOLO26…

YOLOv8'i STM32N6'da Çalıştırmak: Kaybolmadan Bir Yerden Başlamak

Hazır bir modeli embedded bir cihazda çalıştırmanın adım adım rehberi.

How to Fine-Tune YOLO-World for Vision Tasks | Underwater trash

The evolution of computer vision has reached a fascinating intersection where “open-vocabulary” models allow us to detect almost anything…

Machine Learning in Ship Detection Using SAR Imagery”

Smart Eyes Over the Marine

Fine-Tuning YOLOv8-OBB for Vehicle Detection in SAR Imagery: A Complete Pipeline on the SIVED…

Introduction

I Stopped Manually Labeling Images. A Practical Guide to Zero-Shot Object Detection with YOLO-World

Beyond Basic Detection: A Guide to Persistent Tracking with YOLOv11 and ByteTrack

In the world of computer vision, a detector that simply points at an object is only doing half the job. Real-world applications — whether…

Bounding Box Augmentation for Object Detection with Albumentations

If you’re new to image augmentation, two earlier posts provide the broader context:

Indoor Object Detection with Bounding Box Annotation: Powering Smarter Computer Vision Models

In the rapidly evolving world of artificial intelligence and computer vision, machines are increasingly expected to understand environments…