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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.

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Source du modèle

Type
Other
Taille du fichier
21,5 MB
Version
vBest
Mis à jour
1 nov. 2026
Source
Hugging Face

Description de la source

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")

Sources

1 source
Hugging FacePrincipalVersion 24f265e5ec7ebd3c5eaddd007ad145e36c2a17eb
huggingface.co/emreyoleridev/smart-traffic-vision-yolov8/tree/24f265e5ec7ebd3c5eaddd007ad145e36c2a17eb

Vérifié 1 nov.

Artefacts du modèle

1 artefact

best.pt

pt · 21,5 MB · SHA-256 742794769cd0…e989 · Hugging Face

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Extraits de sources

2 extraits

--- 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