--- base_model: - jparedesDS/deadlock-yolo11l tags: - yolo11 - deadlock - videogames --- # Deadlock Players Detector #### Supported Labels ['deny', 'enemy', 'hit', 'minions'] #### ALL my models YOLO11, YOLOv10 & YOLOv9 - 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 #### How to use ``` from ultralytics import YOLO # Load a pretrained YOLO model model = YOLO(r'weights\yolo11l_deadlock.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/FIZ5RQWnc61uzl7CNBOkq.png) #### Labels ![labels.jpg](https://cdn-uploads.huggingface.co/production/uploads/62e1c9b42e4cab6e39dafc97/ESwV9FZEdDZOSCSIQto3N.jpeg) #### Results ![results.png](https://cdn-uploads.huggingface.co/production/uploads/62e1c9b42e4cab6e39dafc97/k5XlHxnTNEFWM0_RVjDbK.png) #### Predict ![val_batch1_labels.jpg](https://cdn-uploads.huggingface.co/production/uploads/62e1c9b42e4cab6e39dafc97/MWBpq382VcQfXOdXZS2N-.jpeg) ``` YOLO11l summary (fused): 464 layers, 25,282,396 parameters, 0 gradients, 86.6 GFLOPs Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 8/8 [00:03<00:00, 2.37it/s] all 551 661 0.874 0.798 0.856 0.486 deny 13 14 0.748 0.857 0.819 0.48 enemy 197 228 0.942 0.785 0.883 0.508 hit 40 53 0.861 0.704 0.787 0.409 minions 222 366 0.945 0.847 0.933 0.546 ``` #### Others models Counter Strike 2 YOLOv10m Object Detection https://huggingface.co/jparedesDS/valorant-yolov10b