Instructions to use cpnlab/YOLOR-Streetlights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use cpnlab/YOLOR-Streetlights with ultralytics:
from ultralytics import YOLOvv11 model = YOLOvv11.from_pretrained("cpnlab/YOLOR-Streetlights") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -1,3 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
# YOLOR-Streetlights
|
| 2 |
|
| 3 |

|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: ultralytics
|
| 3 |
+
pipeline_tag: object-detection
|
| 4 |
+
tags:
|
| 5 |
+
- yolo
|
| 6 |
+
- yolov11
|
| 7 |
+
- object-detection
|
| 8 |
+
- coco
|
| 9 |
+
- 6g
|
| 10 |
+
- beamforming
|
| 11 |
+
- vibe
|
| 12 |
+
- yolor
|
| 13 |
+
- streetlight
|
| 14 |
+
---
|
| 15 |
+
|
| 16 |
# YOLOR-Streetlights
|
| 17 |
|
| 18 |

|