TensorFlow Sports Image Classification : Building a Custom Model with TensorFlow and Keras

🎥 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.

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Check out our tutorial here : https://youtu.be/xORACIVRNd4

Enjoy

Eran

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