metadata

language:
  - en
thumbnail: null
tags:
  - image-classification
  - multimodal
  - tensorflow
license: mit
datasets:
  - flex_civ_vi_screens
pipeline_tag: audio-text-to-text
library_name: tensorflow

Multimodal Classification Model (BM-v1)

This model combines text and image inputs to predict player moves from in-game screenshots for the popular 4X Civilization VI. In use, screenshot inputs are provided and text inputs generated using an LLM.

Model Details

Developed by: BeakerStreet
Model type: Multimodal Classification Model
Language(s): English
License: MIT

Uses

Predicts the likely moves a player will make from a complete sample space of all (observed) player moves, based on a provided screenshot and associated text. Can be fine-tuned to specifically predict types of move (scouting, build orders, settle/doesn't settle)

Direct Use

Predicts the likely moves a player will make, from a complete sample space of all player moves, based on a provided screenshot and associated text.