metadata

tags:
  - vision
  - image-classification
  - CSGO
datasets:
  - Kaludi/data-csgo-weapon-classification
widget:
  - src: https://media.moddb.com/images/downloads/1/219/218947/render.png
    example_title: AK47
  - src: >-
      https://lh6.googleusercontent.com/36GwQuG6pKBsW1HEFNLwC1cEUp4nzX8NgWh0G7ruR5YpGJwBm4DoUFsGwZmKN5AXNyTsFmgXvV07OFIEy-33lPPJJb9PZZndE_-xYqWaaWmDhoqaMoIJAF7xXh4-xO2mufoTsgdn
    example_title: AWP
  - src: >-
      https://community.akamai.steamstatic.com/economy/image/-9a81dlWLwJ2UUGcVs_nsVtzdOEdtWwKGZZLQHTxDZ7I56KU0Zwwo4NUX4oFJZEHLbXH5ApeO4YmlhxYQknCRvCo04DEVlxkKgpopuP1FAR17PDJZS5J-dC6h7-bzqfLP7LWnn9u5MRjjeyPpYrz2lfhqEZvMm_6JdOXelJrYVqDrlbsxe66hp-56JjKnXowvCgg42GdwUIaw99WQg/360fx360f
    example_title: P90
  - src: https://www.talkesport.com/wp-content/uploads/csgo-new-update.jpg
    example_title: M4A1
  - src: >-
      https://mir-s3-cdn-cf.behance.net/project_modules/fs/c6040519785195.562e039771066.png
    example_title: USP
co2_eq_emissions:
  emissions: 0.0421564161796381

CSGO Weapon Classification

This is a CSGO Weapon Classifier Model that has been trained by Kaludi to recognize 11 different types of Counter-Strike: Global Offensive (CSGO) Weapons, which include AK-47,AWP,Famas,Galil-AR,Glock,M4A1,M4A4,P-90,SG-553,UMP,USP. The model is capable of accurately classifying the weapon name present in an image. With its deep understanding of the characteristics of each weapon in the game, the model is a valuable tool for players and fans of CSGO.

Gradio

Tis model supports a Gradio Web UI to run the csgo-weapon-classification model:

Validation Metrics

Loss: 0.282
Accuracy: 0.945
Macro F1: 0.946
Micro F1: 0.945
Weighted F1: 0.946
Macro Precision: 0.948
Micro Precision: 0.945
Weighted Precision: 0.948
Macro Recall: 0.945
Micro Recall: 0.945
Weighted Recall: 0.945