Traffic Sign Classification Using Deep Learning | 97.01% Accuracy | GTSRB | 🚀 скачать в хорошем качестве

Traffic Sign Classification Using Deep Learning | 97.01% Accuracy | GTSRB | 🚀

🚦 German Traffic Sign Recognition (GTSRB) | Deep Learning & Data Augmentation 🔗 Resources and Code: Find the full project code: https://www.kaggle.com/code/codingloa... Download the dataset here: https://www.kaggle.com/datasets/meowm... 🚀 In this project, I built a Neural Network to classify German traffic signs using the GTSRB dataset. I implemented Data Augmentation to enhance model generalization and achieved an impressive 97% accuracy! The model is trained using Convolutional Neural Networks (CNNs) and optimized for high performance in real-world traffic sign recognition. 🔍 What’s Covered? ✅ Exploratory Data Analysis (EDA) to understand traffic sign distributions ✅ CNN Model Training for accurate traffic sign classification ✅ Data Augmentation to improve robustness against variations ✅ Performance Evaluation achieving 97% accuracy 🔥 Perfect for Deep Learning & Computer Vision enthusiasts interested in real-world applications! 📌 Keywords for SEO: #DeepLearning #TrafficSignRecognition #GTSRB #NeuralNetworks #CNN #MachineLearning #AI #ComputerVision #DataAugmentation #Python #ImageClassification #MLProjects