README.md

metadata

license: cc-by-nc-nd-4.0
pipeline_tag: object-detection
tags:
  - yolo11
  - ultralytics
  - yolo
  - object-detection
  - pytorch
  - cs2
  - Counter Strike

Counter Strike 2 players detector

Supported Labels

[ 'c', 'ch', 't', 'th' ]

All models in this series

• yolo11n_cs2
• yolo11s_cs2
• yolo11m_cs2
• yolo11l_cs2
• yolo11x_cs2

How to use

# load Yolo
from ultralytics import YOLO

# Load a pretrained YOLO model
model = YOLO(r'weights\yolo**_cs2.pt')

# Run inference on 'image.png' with arguments
model.predict(
    'image.png',
    save=True,
    device=0
    )

Predict info

Ultralytics 8.3.68 🚀 Python-3.11.0 torch-2.5.1+cu124 CUDA:0 (NVIDIA GeForce RTX 4060, 8187MiB)

• yolo11m_cs2_fp16.engine (384x640 5 ts, 5 ths, 4.0ms)
• yolo11m_cs2.engine (384x640 5 ts, 5 ths, 7.0ms)
• yolo11m_cs2_fp16.onnx (640x640 5 ts, 5 ths, 17.2ms)
• yolo11m_cs2.onnx (384x640 5 ts, 5 ths, 118.8ms)
• yolo11m_cs2.pt (384x640 5 ts, 5 ths, 54.6ms)

Dataset info

Data from over 127 games, where the footage has been tagged in detail.

Train info

The training took place over 150 epochs.