--- tags: - ow2 - overwatch - object - identification - yolo --- # 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 ![confusion_matrix_normalized.png](https://cdn-uploads.huggingface.co/production/uploads/62e1c9b42e4cab6e39dafc97/qZnMSqcob_Fn9KesMNi3V.png) #### Labels ![labels.jpg](https://cdn-uploads.huggingface.co/production/uploads/62e1c9b42e4cab6e39dafc97/m6jFSPdcmfBON21EbnKzH.jpeg) #### Results ![results.png](https://cdn-uploads.huggingface.co/production/uploads/62e1c9b42e4cab6e39dafc97/GqivS6eBWLGn2h-rIQOql.png) #### Predict ![val_batch1_labels.jpg](https://cdn-uploads.huggingface.co/production/uploads/62e1c9b42e4cab6e39dafc97/gVSp_0IK1HeNqt8HwXwKQ.jpeg) ![val_batch2_labels.jpg](https://cdn-uploads.huggingface.co/production/uploads/62e1c9b42e4cab6e39dafc97/dPS8W2IRXSwZCrj0L_1gk.jpeg) ``` 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/