🎥 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.
If you are interested in learning modern Computer Vision course with deep dive with TensorFlow , Keras and Pytorch , you can find it here : http://bit.ly/3HeDy1V
Perfect course for every computer vision enthusiastic
Actually recommend this book for deep learning based on Tensorflow and Keras : https://amzn.to/3STWZ2N
Check out our tutorial here : https://youtu.be/xORACIVRNd4
Enjoy
Eran
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