How to classify images using MobileNet V2 ? Want to turn any JPG into a set of top-5 predictions in under 5 minutes? In this hands-on tutorial I’ll walk you line-by-line through loading MobileNetV2, prepping an image with OpenCV, and decoding the results—all in pure Python. Perfect for beginners who need a lightweight model or […]
Super-Quick Image Classification with MobileNetV2 Read More »
In this tutorial, we will show you how to use LightlyTrain to train a model on your own dataset for image classification. Self-Supervised Learning (SSL) is reshaping computer vision, just like LLMs reshaped text. The newly launched LightlyTrain framework empowers AI teams—no PhD required—to easily train robust, unbiased foundation models on their own datasets. Let’s
Self-Supervised Learning Made Easy with LightlyTrain | Image Classification tutorial Read More »
In this tutorial, we build a vehicle classification model using VGG16 for feature extraction and XGBoost for classification! 🚗🚛🏍️ It will based on Tensorflow and Keras 🔍 What You’ll Learn 🔍: 🖼️ Part 1: We kick off by preparing our dataset, which consists of thousands of vehicle images across five categories. We demonstrate how to
Object Classification using XGBoost and VGG16 | Classify vehicles using Tensorflow Read More »
This tutorial provides a step-by-step easy guide on how to implement and train a CNN model for Malaria cell classification using TensorFlow and Keras. 🔍 What You’ll Learn 🔍: Data Preparation — In this part, you’ll download the dataset and prepare the data for training. This involves tasks like preparing the data , splitting into training
How to classify Malaria Cells using Convolutional neural network Read More »
👁️ CNN Image Classification for Retinal Health Diagnosis with TensorFlow and Keras! 👁️ How to gather and preprocess a dataset of over 80,000 retinal images, design a CNN deep learning model , and train it that can accurately distinguish between these health categories. What You’ll Learn: 🔹 Data Collection and Preprocessing: Discover how to acquire
Build a CNN Model for Retinal Image Diagnosis Read More »
📽️ In our latest video tutorial, we will create a dog breed recognition model using the NasLarge pre-trained model 🚀 and a massive dataset featuring over 10,000 images of 120 unique dog breeds 📸. What You’ll Learn: 🔹 Data Preparation: We’ll begin by downloading a dataset of of more than 20K Dogs images, neatly categorized
120 Dog Breeds, more than 10,000 Images: Deep Learning Tutorial for dogs classification Read More »
