Deep Learning Classify Images | Building Sports Image Classification
Welcome to our guide on Sports Image Classification using TensorFlow, Keras, and MobileNet! 🏆📸 In this tutorial, You'll learn how to build an image classification model capable of recognizing 21 different sports, from basketball to weightlifting. 🔍 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. Code for this video: https://ko-fi.com/s/56623ec7a0 The data set is from this link : https://www.kaggle.com/gpiosenka/sports-classification More relevant content in this playlist : https://youtube.com/playlist?list=PLdkryDe59y4Ze9_12JhWu3cs-lOGYwYeD ~~~~~~~~~~~~~~~ Chapters ~~~~~~~~~~~~~~~ 00:00 Intro !!!!!!! 01:25 Download the dataset and prepare the data 15:52 Build The model 20:44 Train the model 21:48Test the model with new fresh images ~~~~~~~~~~~~~~~ recommended courses and books ~~~~~~~~~~~~~~~ A perfect course for learning modern Computer Vision with deep dive in TensorFlow , Keras and Pytorch . You can find it here : http://bit.ly/3HeDy1V I also recommend this book, https://amzn.to/44GnlLW : "Make Your Own Neural Network - An In-depth Visual Introduction For Beginners ". ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ ☕ Buy me a coffee - https://ko-fi.com/eranfeit 🖥️ Email : [email protected] 🌐 https://eranfeit.net 🤝 Fiverr : https://www.fiverr.com/s/mB3Pbb 🐦 Twitter - https://twitter.com/eran_feit 📸 Instagram - https://www.instagram.com/eran_feit/ ▶️ Subscribe - youtube.com/@eranfeit?sub_confirmation=1 🐙 Facebook - https://www.facebook.com/groups/3080601358933585 📝 Medium - https://medium.com/@feitgemel ~~~~~~~~~~~~~~ SUPPORT ME 🙏~~~~~~~~~~~~~~ 🅿 Patreon - https://www.patreon.com/EranFeit ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ #EranFeit #tensorflow #Mobilenet ~~~~~~~~~~~~~~ Credits ~~~~~~~~~~~~~ Music by Vincent Rubinetti Download the music on Bandcamp: https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown Stream the music on Spotify: https://open.spotify.com/album/1dVyjwS8FBqXhRunaG5W5u
Welcome to our guide on Sports Image Classification using TensorFlow, Keras, and MobileNet! 🏆📸 In this tutorial, You'll learn how to build an image classification model capable of recognizing 21 different sports, from basketball to weightlifting. 🔍 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. Code for this video: https://ko-fi.com/s/56623ec7a0 The data set is from this link : https://www.kaggle.com/gpiosenka/sports-classification More relevant content in this playlist : https://youtube.com/playlist?list=PLdkryDe59y4Ze9_12JhWu3cs-lOGYwYeD ~~~~~~~~~~~~~~~ Chapters ~~~~~~~~~~~~~~~ 00:00 Intro !!!!!!! 01:25 Download the dataset and prepare the data 15:52 Build The model 20:44 Train the model 21:48Test the model with new fresh images ~~~~~~~~~~~~~~~ recommended courses and books ~~~~~~~~~~~~~~~ A perfect course for learning modern Computer Vision with deep dive in TensorFlow , Keras and Pytorch . You can find it here : http://bit.ly/3HeDy1V I also recommend this book, https://amzn.to/44GnlLW : "Make Your Own Neural Network - An In-depth Visual Introduction For Beginners ". ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ ☕ Buy me a coffee - https://ko-fi.com/eranfeit 🖥️ Email : [email protected] 🌐 https://eranfeit.net 🤝 Fiverr : https://www.fiverr.com/s/mB3Pbb 🐦 Twitter - https://twitter.com/eran_feit 📸 Instagram - https://www.instagram.com/eran_feit/ ▶️ Subscribe - youtube.com/@eranfeit?sub_confirmation=1 🐙 Facebook - https://www.facebook.com/groups/3080601358933585 📝 Medium - https://medium.com/@feitgemel ~~~~~~~~~~~~~~ SUPPORT ME 🙏~~~~~~~~~~~~~~ 🅿 Patreon - https://www.patreon.com/EranFeit ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ #EranFeit #tensorflow #Mobilenet ~~~~~~~~~~~~~~ Credits ~~~~~~~~~~~~~ Music by Vincent Rubinetti Download the music on Bandcamp: https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown Stream the music on Spotify: https://open.spotify.com/album/1dVyjwS8FBqXhRunaG5W5u