Skip to content

Training custom CNN Model from scratch to detect resistance band for fitness training application

Notifications You must be signed in to change notification settings

Akhil-Tony/Resistance-Band-Detection-Using-Tensorflow

Repository files navigation

🤸‍♂️ Resistance Band Detection

⭐ Frameworks used

  • TensorFlow
  • MediaPipe
  • OpenCV
  • Keras
  • Numpy

🔧 Application

The model can be used for automated fitness training application to detect resistance band for excercises.

📁 Dataset

This dataset consists of 55782 images belonging to two classes:

⚙️ Data Augmentation

  • Used Data Augmentation to reduce overfitting and improve performance even on poor lighting condition.

🔑 Results

  • The model gave 98% accuracy for Resistance Band Detection after training for n Epochs

About

Training custom CNN Model from scratch to detect resistance band for fitness training application

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published