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๐ฅ In this video tutorial, we will dive deep into the world of sports image classification! ๐๐ธ
๐ Whatโs Covered in this Video:
๐ฆ Dataset Download: Weโll start by obtaining a large sports image dataset from Kaggle, carefully curated with 21 unique sports categories.
๐๏ธโโ๏ธ Model Building: Using TensorFlow and Keras, weโll dive into the architecture of MobileNet, a pre-trained model. Weโll then customize it for our specific classification task.
๐ผ๏ธ 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.
๐ง Model Training: Weโll guide you through the process of training your model, fine-tuning it to achieve impressive accuracy.
๐ Model Evaluation: Discover how to assess the performance of your sports image classifier and understand the results.
๐ธ 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 hereย : http://bit.ly/3HeDy1V
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Check out our tutorial here : https://youtu.be/xORACIVRNd4&list=UULFTiWJJhaH6BviSWKLJUM9sg
You can find the code here : https://ko-fi.com/s/56623ec7a0
LInk for the dataset : https://www.kaggle.com/datasets/gpiosenka/sports-classification
Enjoy
Eran