Model Details
Full Model IDmorsetechlab/yolov11-license-plate-detection
Pipeline / Taskobject-detection
Libraryultralytics
Downloads (all-time)56.2K
Likes36
Last Modified5/14/2026
Author / Orgmorsetechlab
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="morsetechlab/yolov11-license-plate-detection")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
ultralyticsonnxcomputer-visionobject-detectionlicense-plateyolov11finetunedendataset:roboflow/license-plate-recognition-rxg4elicense:agpl-3.0region: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
⬇ Downloads56.2K
❤️ Community Likes36
🛠️ Requirements
- →Install: pip install ultralytics
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.