ShootXP Knowledge Base
  • 👋Welcome
  • 💻Key Features
    • Shooting AI
    • Game Profiling
    • Practice Analytics
    • Gamification
    • Demo
  • 🤝Engaging with the ShootXP Platform
  • Platform Release Notes
Powered by GitBook
On this page

Was this helpful?

  1. Key Features

Shooting AI

AI-assisted detection of shots and contextual variables - all linked to video

PreviousKey FeaturesNextGame Profiling

Last updated 1 year ago

Was this helpful?

Upload video footage from a standard camera/device and have our AI model detect:

  • shot attempts

  • shot locations

  • makes/misses

  • contested shots

  • movement of the shooter leading up to the shot

  • number of players on the court when a shot was attempted

All detected shots are time-stamped and therefore, when imported into the ShootXP app, allow you to quickly find and view the section of video associated with any shot(s).

Now, despite the over-enthusiastic claims of some marketers (🤑), AI is far from "magic" and has its share of limitations. Our shooting model is no different and a number of factors can impact how accurately and consistently events are detected from uploaded footage.

With this in mind there is a still a need for (and benefit in having) a "human in the loop", so we have put a lot of time and attention into the ShootXP app so that you can:

  1. contribute to training a custom model(s) that will work best for the specific camera perspective(s) and venue(s) that you capture footage from, ie your training facility.

  2. manually correct (add/remove/edit) any data that the AI model spits out.

💻
Page cover image