SoccerSnap is an image classification web application that uses machine learning to classify soccer images based on shooting, dribbling, passing or tackling created by Aarnav Bhat using Lobe and TensorFlow.

Clone the project

  gh repo clone Yvite/SoccerSnap

Go to the project directory

  cd my-project

Install dependencies

  pip install flask

Start the server

 flask run

MIT Soccer Snap

1.Sports analysis: This image classification model could be used to analyze and evaluate the performance of soccer players by analyzing their skills. 2.Automated video tagging: Use this model to automatically tag soccer videos based on the actions performed in the video. 3.Social media monitoring: Use this model can be used to monitor social media feeds for soccer-related content and classify images based on the actions performed.