Vombit/yolov10n_cs2

Counter Strike 2 players detector

Supported Labels

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

All models in this series

• yoloV10n_cs2 (5.5mb)
• yoloV10s_cs2 (15.7mb)
• yoloV10m_cs2 (31.9mb)
• yoloV10b_cs2 (39.7mb)
• yoloV10l_cs2 (50.0mb)
• yoloV10x_cs2 (61.4mb)

How to use

# load Yolo
from ultralytics import YOLO

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

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

Predict info

Ultralytics YOLOv8.2.90 🚀 Python-3.12.5 torch-2.3.1+cu121 CUDA:0 (NVIDIA GeForce RTX 4060, 8188MiB)

• yolov10n_cs2_fp16.engine (640x640 5 ts, 5 ths, 2.6ms)
• yolov10n_cs2.engine (640x640 5 ts, 5 ths, 2.9ms)
• yolov10n_cs2_fp16.onnx (640x640 5 ts, 5 ths, 32.6ms)
• yolov10n_cs2.onnx (640x640 5 ts, 5 ths, 40.6ms)
• yolov10n_cs2.pt (384x640 5 ts, 5 ths, 124.3ms)

Dataset info

Data from over 120 games, where the footage has been tagged in detail.

Train info

The training took place over 150 epochs.

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