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.

Overwatch 2 Players Detector

Supported Labels

['Head']

ALL my models YOLO11, YOLOv10 & YOLOv9

YOLO11l: https://huggingface.co/jparedesDS/fluorescent-penetrant-inspection
YOLO11x: https://huggingface.co/jparedesDS/welding-defects-detection
YOLOv9c: https://huggingface.co/jparedesDS/cs2-yolov9c
YOLOv10s: https://huggingface.co/jparedesDS/cs2-yolov10s
YOLOv10m: https://huggingface.co/jparedesDS/cs2-yolov10m
YOLOv10b: https://huggingface.co/jparedesDS/cs2-yolov10b
YOLOv10b: https://huggingface.co/jparedesDS/valorant-yolov10b
YOLO11m: https://huggingface.co/jparedesDS/valorant-yolo11m
YOLO11l: https://huggingface.co/jparedesDS/deadlock-yolo11l
YOLO11l: https://huggingface.co/jparedesDS/ow2-yolo11m

How to use

from ultralytics import YOLO

# Load a pretrained YOLO model
model = YOLO(r'weights\ow2-yolo11m.pt')

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

Confusion matrix normalized

Labels

Results

Predict

YOLO11m summary (fused): 303 layers, 20,030,803 parameters, 0 gradients, 67.6 GFLOPs
                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 4/4 [00:01<00:00,  2.69it/s]
                   all        273        133      0.742      0.563       0.66      0.317

Others models...

https://huggingface.co/jparedesDS/

❤️ Why buy me a coffee?

If any of my repositories have been useful to you, saved you time, or inspired you in any way, you can support my work by buying me a coffee ☕ Your support helps me to:

Keep projects maintained and improved

Create new open source repositories

Spend more time documenting and explaining the code

👉 Buy me a coffee here:

Downloads last month: -; Downloads are not tracked for this model. How to track