Technology

CV

Roboflow
A platform for annotating, augmenting, and managing datasets for computer vision projects.
How we used it:
We used Roboflow to annotate our custom basketball dataset and apply augmentations to increase the dataset’s size and diversity, improving model performance.

Ultralytics
Provides tools and libraries for YOLO (You Only Look Once), a state-of-the-art object detection model.
How we used it:
We used the YOLOv8 package from Ultralytics to train our basketball detection model and make real-time detections in video frames.

OpenCV (cv2)
An open-source computer vision library that provides tools for image processing and analysis.
How we used it:
We used OpenCV to annotate images, preprocess video frames, and integrate the outputs from our YOLO model for player tracking and ball possession detection.

Data

SQLite
A lightweight, serverless database engine for managing structured data.
How we used it:
We used SQLite to create an embedded database for storing historical basketball statistics and tracking player data over time.

Web App

Streamlit
An open-source Python library for building interactive and data-driven web applications.
How we used it:
We used Streamlit to develop our web app for visualizing player statistics, game analytics, and video detections in an intuitive, user-friendly interface.