ow2-yolo11m / README.md
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metadata
tags:
  - ow2
  - overwatch
  - object
  - identification
  - yolo

Overwatch 2 Players Detector

Supported Labels

['Head']

ALL my models YOLO11, YOLOv10 & YOLOv9

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

confusion_matrix_normalized.png

Labels

labels.jpg

Results

results.png

Predict

val_batch1_labels.jpg val_batch2_labels.jpg

YOLO11m summary (fused): 303 layers, 20,030,803 parameters, 0 gradients, 67.6 GFLOPs
                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 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/