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yolov10x_cs2
Vombit/yolov10x_cs2
yolov10x_cs2 is a object detection model from Vombit. Use it when you need objects located in an image. It is set up for yolov10. The card lists the license as cc-by-nc-nd-4.0.
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332
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Repo size
508 MB
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.onnx236 MB · 46%
At a glance
- Task
- Object Detection
- Library
- yolov10
- License
- cc-by-nc-nd-4.0
- Access
- Public
- Created
- Sep 19, 2024
- Updated
- Jan 21, 2026
- SHA
- 7fa500cf
Model card
From the Hugging Face model README
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\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)
- yolov10x_cs2_fp16.engine (640x640 5 ts, 5 ths, 15.4ms)
- yolov10x_cs2.engine (640x640 5 ts, 5 ths, 19.6ms)
- yolov10x_cs2_fp16.onnx (640x640 5 ts, 5 ths, 381.7ms)
- yolov10x_cs2.onnx (640x640 5 ts, 5 ths, 369.1ms)
- yolov10x_cs2.pt (384x640 5 ts, 5 ths, 146.7ms)
Dataset info
Data from over 120 games, where the footage has been tagged in detail.
Train info
The training took place over 150 epochs.
- Task
- Object Detection
- Library
- yolov10
- License
- cc-by-nc-nd-4.0
- Created
- Sep 19, 2024
- Updated
- Jan 21, 2026