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Basketball Shot Phase Detection

Overview

This project focuses on detecting the different phases of a basketball shot using computer vision techniques.

Resources

Phases of a Basketball Shot

  1. Position: The player gets into the correct stance and position.
    • Feet should be shoulder-width apart.
    • Knees slightly bent.
    • Body balanced.
  2. Preparation: The player prepares to take the shot.
    • Focus on the target.
    • Grip the ball properly.
    • Align the body.
  3. Release: The ball is released from the player's hands.
    • Use a smooth motion.
    • Extend the shooting arm.
    • Snap the wrist.
  4. Follow-through: The player's hands follow through after releasing the ball.
    • Maintain balance.
    • Keep eyes on the target.
    • Hold the follow-through position.

Tools and Technologies

  • YOLOv8: Used for training the model to detect the different phases.
  • Roboflow: Used for annotating the training data.

Steps to Train the Model

  1. Data Collection: Collect videos of basketball shots.
  2. Annotation: Use Roboflow to annotate the different phases in the videos.
  3. Training: Train the YOLOv8 model with the annotated data.
  4. Evaluation: Evaluate the model's performance on a test dataset.
  5. Deployment: Deploy the model for real-time phase detection.

References