#image-classification

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…

Why Reverse Image Search Failed Me

Like many people, I believed reverse image search was the ultimate truth detector.

Accelerating Pokemon TCG Automation: Building a Multi-Modal AI Card Recognition API

The collectibles and Trading Card Game (TCG) markets have transformed from casual hobbies into a highly active alternative asset class. For…

Why People Trust Ugly Websites Less Than They Admit

Hey friend, let me ask you something real quick.

Beyond Cross-Entropy: Mastering Focal Loss for Extreme Class Imbalance

If you are training a neural network for classification, chances are you are using Cross-Entropy Loss (CEL). It is the undisputed gold…

Accuracy and Speed in Face Detection: IoU, NMS Logic, and a 200x Speedup from Python to C

Object detection pipeline efficiency rests on two pillars: architectural accuracy and execution speed. In real-time face detection, after a…

Let’s create a Simple Image Classification model using Tensorflow

Hello everyone, if you’re a machine learning beginner, you’re in the right place. We’re going to build an image classification model from…

Image Analysis — OpenAi/Openrouter python tutorial

How to call and pass images for a description with openrouter

Computer Vision — Image Classification (YOLO26)

Computer Vision

The Power of Classification: From Messy Chaos to Intelligent Systems

We live in a world overflowing with information — documents, images, logs, transactions, conversations. At first glance, much of this data…

History of BirdCLEF competitions in Kaggle

What insights can we gain from BirdCLEF competitions in Kaggle over the years?

Detecting COVID-19 from Chest X-rays: A Deep Learning Approach using ResNet50V2 with Grad CAM

Introduction

AI-Powered Neurology: Building an Alzheimer’s Classifier with Python and Xception

Leveraging the Xception Architecture for Early Dementia Detection

How I Built a Butterfly Species Classifier Using TensorFlow and Python

A deep dive into fine-grained image recognition and the architecture of a professional CNN.

Classifying Sports Balls with Deep Learning: A Practical Journey Through Transfer Learning

Introduction

Building a 100-Class Sports Classifier with EfficientNetB0

When it comes to deep learning, moving from a simple 2-class problem to a massive 100-class challenge is where you truly sharpen your…

I Migrated My Vision Pipeline to Keras Hub: Here Is What I Learned

I swapped my legacy CV code for Keras Hub. Here is what happened.

I Built an AI to Grade Knee Osteoarthritis: A ResNet152V2 Deep Dive

In this ResNet152V2 TensorFlow tutorial, we aren’t just processing pixels; we are training a high-performance residual network to detect…

ConvNeXt Fine-Tuning Playbook: PyTorch Training on a Custom Dataset

ConvNeXt is one of those models that feels “best of both worlds”: it keeps the speed and simplicity of CNNs, but it borrows modern design…

CNN Image Classification TensorFlow for 30 Musical Instruments

I wanted a model that can look at a single image and confidently say “accordion”, “violin”, or “saxophone” — not by guessing, but by…

I Generate Synthetic Images for Image Classification in Python (Prompt-to-Dataset Recipe)

When you need training images, the slow part is almost never the model. It’s the dataset. Collecting images, cleaning duplicates…

Xception Transfer Learning in TensorFlow: Build a Ship Classifier

xception transfer learning tensorflow is one of the most practical ways to train a strong image classifier without starting from zero. In…

Stop Asking LLMs to Work, Start Asking Them to Teach

How We Turned LLM Intelligence into Production-Scale Vision Models

Gemini Can See Where You Are: Unlocking Spatial Reasoning with Native Bounding Boxes

We have taught Large Language Models to write poetry, debug code, and summarize history. But until recently, these models were spatially…

El Poder Oculto de Core Image: Descubriendo los +200 Filtros de Apple para Transformar tus Imágenes

¿Qué es Core Image?

Case Study: HUBL Net

Hierarchical Unified Block Language for AI-Native Image Intelligence

FasterViT Image Classification Using Custom Dataset | Star wars dataset

🧠 Introduction — FasterViT Image Classification Using Custom Dataset

How to Use FasterViT for Image and video Classification

Introduction — fastervit image classification tutorial

Amazing Guide to fine tune ConvNeXT Quickly

Introduction

Fine Tune Vision Transformer on Your Own Dataset

Introduction

Seeing Images as Graphs: Utilizing GAT’s with Contrastive Pretraining to Recognize Diabetic…

Here’s some food for thought: aren’t images really graphs? Now, think about it — if the pixels (or patches of pixels) represent nodes and…

YOLOv5 Image Classification — Complete Tutorial

Introduction — Why Use YOLOv5 for Image Classification?

Brain Tumor Classification Using InceptionV3 and Grad-CAM: A Deep Learning Pipeline

Medical imaging has revolutionized diagnostics, but detecting and classifying brain tumors in MRI scans remains a challenging task…

How to Build a DenseNet201 Model for Sports Image Classification

Introduction to Building an Olympic Sports Classifier

Beyond the Form: How GCP’s AI Powers Next-Gen Customer Onboarding

In the world of financial services, customer onboarding is the critical first impression. It’s also a process traditionally plagued by…

How to classify 525 Bird Species using Inception V3 and TensorFlow

In this guide you will build a full image classification pipeline using Inception V3. You will prepare directories, preview sample images…

Transfer Learning That Actually Works: How I Trained a High-Accuracy Image Classifier on Just 300…

A hands-on walkthrough of using pretrained CNNs to build robust models on tiny datasets, complete with data augmentation, fine-tuning…

What Is Overfitting? How to Avoid Overlearning in Deep Learning Training

Deep learning models are powerful. But when this power is misused, it can make them unreliable. In this article, I’ll explain one of the…

Harness DINOv2 Embeddings for Accurate Image Classification

Learn how to train a linear PyTorch head on DINOv2 embeddings to build an accurate image classifier for low-data tasks.

AutoAugment Paper Review

AutoAugment: Learning Augmentation Strategies from Data

Transfer Learning on Custom Datasets: Using Your Own Image Folders with PyTorch (with practical…

Training deep networks from scratch can be hard when you have limited data, no powerful GPU, or little time. Transfer learning solves this…

Custom Deep Learning Model with a ResNet18 Backbone for CIFAR-10 Image Classification

1- Introduction

Fresh Food, Smarter Supply Chains: Tackling Waste with AI

Data Link

Image Classification with Object Detection: A 5-Minute Guide

We’ll walk through building a simple image classification and object detection pipeline using the Clarifai API and Python. We’ll leverage…

Exploring the Depths of Computer Vision: Insights from CS231n

Digital Images - Essentially Information Before Processing

Thursday, October 31, 2024

120 Dog Breeds, more than 10,000 Images: Deep Learning Tutorial for dogs classification 🐕‍🦺

Summary :

Neural Networks for grayscale image classification

Neural networks (NNs) have a fundamental role in the development of machine learning solutions across diverse industries. They mimic the…

Convolutional Neural Network Tutorial with Traffic Sign Recognition (TensorFlow)

Create your own CNN model for Image Recognition with this simple application for recognizing traffic signs.

Comparison of Web and Mobile classification models based on inference results

Web and Mobile results should be similar. Evaluate your input tensor to confirm that your pre-processing steps are spot on.