Smart Traffic Vision Yolov8
This model is a YOLOv8 object detection model fine-tuned for smart traffic vision applications. It detects vehicles, pedestrians, and traffic signs in street and traffic images.
Fuente del modelo
- Tipo
- Other
- Tamaño del archivo
- 21,5 MB
- Versión
- vBest
- Actualizado
- 1 nov 2026
- Fuente
- Hugging Face
Descripción de la fuente
Smart Traffic Vision YOLOv8
This model is a YOLOv8 object detection model fine-tuned for smart traffic vision applications. It detects vehicles, pedestrians, and traffic signs in street and traffic images.
Model Details
- Model Type: YOLOv8
- Task: Object Detection
- Domain: Traffic and Street Scenes
Intended Use
This model is intended to be used in conjunction with the Smart Traffic Vision Hugging Face Space.
Usage in Python
from ultralytics import YOLO
from huggingface_hub import hf_hub_download
model_path = hf_hub_download(repo_id="emreyoleridev/smart-traffic-vision-yolov8", filename="best.pt")
model = YOLO(model_path)
results = model("path/to/image.jpg")
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 1 nov
Artefactos del modelo
1 artefacto
Artefactos del modelo
1 artefactoExtractos de fuentes
2 extractos
Extractos de fuentes
2 extractos--- language: en license: mit tags: - yolov8 - computer-vision - object-detection - traffic --- # Smart Traffic Vision YOLOv8 This model is a YOLOv8 object detection model fine-tuned for smart traffic vision applications. It detects vehicles, pedestrians, and traffic signs in street and traffic images. ## Model Details - **Model Type**: YOLOv8 - **Task**: Object Detection - **Domain**: Traffic and Street Scenes ## Intended Use This model is intended to be used in conjunction with the [Smart Traffic Vision](https://huggingface.co/spaces/emreyoleridev/smart-traffic-vision) Hugging Face Space. ## Usage in Python ```python from ultralytics import YOLO from huggingface_hub import hf_hub_download model_path = hf_hub_download(repo_id="emreyoleridev/smart-traffic-vision-yolov8", filename="best.pt") model = YOLO(model_path) results = model("path/to/image.jpg") ```
Source context: 0 downloads · 0 likes · Pipeline object-detection · Repo emreyoleridev/smart-traffic-vision-yolov8
