Instructions to use UNIC0RN-Zhu/yolo11s-drive-scene-carla-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use UNIC0RN-Zhu/yolo11s-drive-scene-carla-v1 with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("UNIC0RN-Zhu/yolo11s-drive-scene-carla-v1") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "weights": "best.pt", | |
| "data": "specialized_yolo_carla_v1/dataset.yaml (not distributed)", | |
| "hardware": "NVIDIA GeForce RTX 5090", | |
| "input_size": 640, | |
| "overall": { | |
| "metrics/precision(B)": 0.6786, | |
| "metrics/recall(B)": 0.497364, | |
| "metrics/mAP50(B)": 0.540481, | |
| "metrics/mAP50-95(B)": 0.264307, | |
| "fitness": 0.264307 | |
| }, | |
| "per_class": { | |
| "vehicle": { | |
| "precision": 0.798087, | |
| "recall": 0.697024, | |
| "map50": 0.765537, | |
| "map50_95": 0.473568 | |
| }, | |
| "pedestrian": { | |
| "precision": 0.729099, | |
| "recall": 0.48128, | |
| "map50": 0.551467, | |
| "map50_95": 0.257082 | |
| }, | |
| "cyclist": { | |
| "precision": 0.583581, | |
| "recall": 0.302158, | |
| "map50": 0.337376, | |
| "map50_95": 0.167723 | |
| }, | |
| "motorcycle": { | |
| "precision": 0.623484, | |
| "recall": 0.326772, | |
| "map50": 0.343456, | |
| "map50_95": 0.164098 | |
| }, | |
| "traffic_light": { | |
| "precision": 0.654755, | |
| "recall": 0.578192, | |
| "map50": 0.583696, | |
| "map50_95": 0.214888 | |
| }, | |
| "traffic_sign": { | |
| "precision": 0.710691, | |
| "recall": 0.537523, | |
| "map50": 0.601301, | |
| "map50_95": 0.304598 | |
| }, | |
| "road_barrier": { | |
| "precision": 0.680642, | |
| "recall": 0.520362, | |
| "map50": 0.56321, | |
| "map50_95": 0.282967 | |
| }, | |
| "traffic_cone": { | |
| "precision": 0.648458, | |
| "recall": 0.535602, | |
| "map50": 0.577803, | |
| "map50_95": 0.249536 | |
| } | |
| }, | |
| "speed_ms_per_image": { | |
| "preprocess": 0.240542, | |
| "inference": 0.527608, | |
| "loss": 5.5e-05, | |
| "postprocess": 0.350209 | |
| } | |
| } | |