📰 Medium · Python

“YOLO finds the object, while OCR reads the text on it. Powerful on their own, these two technologies become the foundation of intelligent… Continue reading on

In most computer vision tutorials, everything starts with a clean, pre-annotated dataset downloaded from the internet. But real-life… Continue reading on Medium

Open any self-driving demo and somewhere underneath there is a neural network the size of a small country, trained on more video than you… Continue reading on M

In my recent journey building an automated anomaly detection system for security footage, I hit a wall. I had a model that performed well… Continue reading on M

Default overlays look like debug output Continue reading on Medium »

When I first started learning about Artificial Intelligence, I thought it was all about robots, chatbots, and complex programming. During… Continue reading on M

A step-by-step breakdown of building a pose analysis pipeline with just a phone camera and no hardware of my own — what broke, what the… Continue reading on Med

Last week I typed “a black backpack” into a search box and watched a backpack light up yellow inside a 3D reconstruction of my apartment… Continue reading on Me

This playbook serves as a comprehensive reference guide for training, fine-tuning, and deploying a hybrid Deep Learning model (MobileNetV2… Continue reading on

Sebuah pendekatan praktis pengolahan citra digital untuk otomatisasi segmentasi gambar produk dan profil tanpa perangkat lunak… Continue reading on Medium »

How our team built a real-time Computer Vision system using YOLO, OpenCV, and DeepFace to assist professional certification exams and why… Continue reading on M

A step-by-step guide to deploying your first Computer Vision AI project using OpenCV and Streamlit. Continue reading on Medium »

“Clifford Vortex Filaments” is a generative media art piece that dives deep into chaos theory and non-linear dynamics, visualizing a… Continue reading on Medium

Imagine capturing a near-perfect cinematic shot, only to notice an ugly corporate logo, a distracting background object, or an accidental… Continue reading on M

Build a live skeleton overlay that detects up to two hands, colors each finger differently, and runs at smooth frame rates — in under 140… Continue reading on M

In the late autumn of 1889, Vincent van Gogh stood before his easel in Saint-Rémy-de-Provence, applying thick, deliberate strokes of… Continue reading on Medium

How I built a full-stack automated vehicle compliance system to track plates, process video feeds, and issue automated warnings. Continue reading on Medium »

A hands-on walkthrough of building, training, and evaluating a Convolutional Neural Network (CNN) on the Fashion-MNIST dataset using… Continue reading on Medium

And it spots patterns your nutritionist would catch — for $5/month Continue reading on Medium »

Building BrandSpotter: a three-stage brand recognition pipeline on LogoDet-3K, and why the hardest part wasn’t detection or classification. Continue reading on

Di artikel kali ini, saya mau sharing sebuah side project gabut tapi berfaedah yang baru-baru ini saya selesaikan. Sebagai mahasiswa yang… Continue reading on M

I built an interactive CNN explainer that lets you visually see how a Convolutional Neural Network processes images — layer by layer. Continue reading on Medium

Food image understanding is usually treated as a classification problem. Given an image, the model predicts one label such as pizza… Continue reading on Medium

Crowd counting is a very sophisticated problem in computer vision. Standard object detectors easily fail when people stand too close… Continue reading on Medium