Vombit/yolo11n_cs2

Counter Strike 2 players detector

Supported Labels

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

All models in this series

• yolo11n_cs2 (~6mb)
• yolo11s_cs2 (~18mb)
• yolo11m_cs2 (~39mb)
• yolo11l_cs2 (~49mb)
• yolo11x_cs2 (~109mb)

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)

• yolo11n_cs2_fp16.engine (384x640 5 ts, 5 ths, 20.2ms)
• yolo11n_cs2.engine (384x640 5 ts, 5 ths, 3.3ms)
• yolo11n_cs2_fp16.onnx (640x640 5 ts, 5 ths, 7.8ms)
• yolo11n_cs2.onnx (384x640 5 ts, 5 ths, 172.7ms)
• yolo11n_cs2.pt (384x640 5 ts, 5 ths, 52.1ms)

Dataset info

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

Train info

The training took place over 150 epochs.

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