Model Details
Full Model IDkeremberke/yolov5m-license-plate
Pipeline / Taskobject-detection
Libraryyolov5
Downloads (all-time)48.0K
Likes54
Last Modified1/1/2023
Author / Orgkeremberke
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("object-detection", model="keremberke/yolov5m-license-plate")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
yolov5tensorboardyolovisionobject-detectionpytorchdataset:keremberke/license-plate-object-detectionmodel-indexregion:us
More Object Detection Models
See all →🚀 Use This Model
Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🔍 Task: Object Detection
This model is designed for the Object Detection task. Explore more models for this use case.
All Object Detection Models →📊 Popularity
⬇ Downloads48.0K
❤️ Community Likes54
🛠️ Requirements
- →Install: pip install yolov5
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.