In this video tutorial, we will dive deep into the world of sports image classification! What's Covered in this Video: Dataset Download: We'll start by obtaining a large sports image dataset from Kaggle, carefully curated with 21 unique sports categories. ️♂️ Model Building: Using TensorFlow and Keras, we'll dive into the architecture of MobileNet, a pre-trained model. We'll then customize it for our specific classification task. ️ Data Preparation: Learn how to preprocess and organize your data into train, validation, and test sets, ensuring your model has a solid foundation to learn from. Model Training: We'll guide you through the process of training your model, fine-tuning it to achieve impressive accuracy. Model Evaluation: Discover how to assess the performance of your sports image classifier and understand the results. Real-World Predictions: Watch as we make predictions on new sports images, overlaying the predicted class for a real-world demonstration of our model in action. Check out our tutorial here : Enjoy Eran #Python #openCV #TensorFlow #Deeplearning #DeepLearningTutorial #mobilenet #ImageClassificationTutorial #SportsImageClassification
