Hugging Face's logo

Vombit
/
yolo11s_cs2

Object Detection
ultralytics
ONNX
PyTorch
yolo11
yolo
cs2
Counter Strike
Model card Files
xet
Community

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

Counter Strike 2 players detector

Supported Labels 

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

All models in this series

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)

  • yolo11s_cs2_fp16.engine (384x640 5 ts, 5 ths, 3.8ms)
  • yolo11s_cs2.engine (384x640 5 ts, 5 ths, 5.0ms)
  • yolo11s_cs2_fp16.onnx (640x640 5 ts, 5 ths, 13.0ms)
  • yolo11s_cs2.onnx (384x640 5 ts, 5 ths, 94.7ms)
  • yolo11s_cs2.pt (384x640 5 ts, 5 ths, 58.9ms)

Dataset info

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

image/jpg image/jpg

Train info

The training took place over 150 epochs.

image/png

Downloads last month
8
Inference Providers NEW
Object Detection
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Collection including Vombit/yolo11s_cs2