I will build basketball player tracking system using yolov8 and deepsort

United Kingdom

I speak English, Spanish, German

Computer Vision Application and Deployment Engineer

I’m a Computer Vision Engineer specializing in AI application development and deployment for web, mobile, and real-time systems. I build solutions for object detection, tracking, sports analytics, ret...
About this Gig

Need an AI-powered basketball player tracking system for game analysis, coaching, scouting, or sports analytics? I will build a custom computer vision solution using YOLOv8 and DeepSORT to detect and track players consistently across video frames.


The system can process basketball footage and provide player detection, unique IDs, movement trajectories, tracking data, and customizable analytics. I can adapt the solution to recorded game footage, real-time video, or your existing sports analytics workflow.


What I Offer

  • Basketball player detection
  • YOLOv8 implementation
  • DeepSORT multi-object tracking
  • Player ID assignment
  • Player movement tracking
  • Trajectory extraction
  • Bounding box visualization
  • Real-time video processing
  • Game footage analysis
  • Tracking data export
  • Python & OpenCV integration
  • Custom computer vision solutions
  • Model optimization

Send me your basketball footage, tracking requirements, and preferred output format, and I'll help turn your game video into useful tracking data.

APIs:

Microsoft Computer Vision AI

Amazon Rekognition

Expertise:

Image processing

Feature learning

Classification

Programming language:

Python

R

MATLAB

Colab

Java

Tools:

OpenCV

TensorFlow

MLflow

SimpleCV

CVAT

Colab

PyTorch

Frameworks:

DeepPy

Google ML Kit

SimpleCV

Keras

PyTorch