Better sports analytics through computer vision and to improve sports coverage which helps in better customer engagement.
What it does
This isolated camera zoom follows one or more players and/or coaches in the frame and ends as soon as there is a camera change. Isolated frames will always have a box score graphic and at times game flow graphics that may include the following: seasonal averages, upcoming schedule, and additional promotions for future game events.
How we built it
Started with a pre-trained Inception V3 model and trained on our dataset on AWS SageMaker.
Challenges we ran into
Loading the initial dataset into the instance and creating a balanced dataset for all the classes.
Accomplishments that we're proud of
Built a full-scale CNN model and deployed it on the cloud and achieve test accuracy close to 70%.
What we learned
Usage of AWS SageMaker for training and deploying our Machine Learning models and to do transfer learning using a pre-trained model.
What's next for Detect an isolated camera zoom
Collect and augment more data and improve the test accuracy and train it on all actions to create a generalized model that can detect any type of action.