Yolo8 Indonesian License Plate Detection

1
8.0B
license:mit
by
wuriyanto
Other
OTHER
8B params
New
0 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
18GB+ RAM
Mobile
Laptop
Server
Quick Summary

🚘 YOLOv8 model for detecting Indonesian vehicle license plates.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
8GB+ RAM

Code Examples

Model Detailsbash
pip install ultralytics
Model Detailsbash
pip install ultralytics
Model Detailsbash
pip install ultralytics
Model Detailsbash
pip install ultralytics
Model Detailsbash
pip install ultralytics
Model Detailsbash
pip install ultralytics
Model Detailsbash
pip install ultralytics
Model Detailsbash
pip install ultralytics
Usagepython
from ultralytics import YOLO

# Load model
model = YOLO("https://huggingface.co/wuriyanto/yolo8-indonesian-license-plate-detection/resolve/main/model.pt")

# Run inference on an image
results = model("/content/mob_3.JPG", conf=0.5)

# Show results
import matplotlib.pyplot as plt

plt.imshow(results[0].plot())
plt.axis("off")
plt.show()
Usagepython
from ultralytics import YOLO

# Load model
model = YOLO("https://huggingface.co/wuriyanto/yolo8-indonesian-license-plate-detection/resolve/main/model.pt")

# Run inference on an image
results = model("/content/mob_3.JPG", conf=0.5)

# Show results
import matplotlib.pyplot as plt

plt.imshow(results[0].plot())
plt.axis("off")
plt.show()
Usagepython
from ultralytics import YOLO

# Load model
model = YOLO("https://huggingface.co/wuriyanto/yolo8-indonesian-license-plate-detection/resolve/main/model.pt")

# Run inference on an image
results = model("/content/mob_3.JPG", conf=0.5)

# Show results
import matplotlib.pyplot as plt

plt.imshow(results[0].plot())
plt.axis("off")
plt.show()
Usagepython
from ultralytics import YOLO

# Load model
model = YOLO("https://huggingface.co/wuriyanto/yolo8-indonesian-license-plate-detection/resolve/main/model.pt")

# Run inference on an image
results = model("/content/mob_3.JPG", conf=0.5)

# Show results
import matplotlib.pyplot as plt

plt.imshow(results[0].plot())
plt.axis("off")
plt.show()
Usagepython
from ultralytics import YOLO

# Load model
model = YOLO("https://huggingface.co/wuriyanto/yolo8-indonesian-license-plate-detection/resolve/main/model.pt")

# Run inference on an image
results = model("/content/mob_3.JPG", conf=0.5)

# Show results
import matplotlib.pyplot as plt

plt.imshow(results[0].plot())
plt.axis("off")
plt.show()
Usagepython
from ultralytics import YOLO

# Load model
model = YOLO("https://huggingface.co/wuriyanto/yolo8-indonesian-license-plate-detection/resolve/main/model.pt")

# Run inference on an image
results = model("/content/mob_3.JPG", conf=0.5)

# Show results
import matplotlib.pyplot as plt

plt.imshow(results[0].plot())
plt.axis("off")
plt.show()
Usagepython
from ultralytics import YOLO

# Load model
model = YOLO("https://huggingface.co/wuriyanto/yolo8-indonesian-license-plate-detection/resolve/main/model.pt")

# Run inference on an image
results = model("/content/mob_3.JPG", conf=0.5)

# Show results
import matplotlib.pyplot as plt

plt.imshow(results[0].plot())
plt.axis("off")
plt.show()
Usagepython
from ultralytics import YOLO

# Load model
model = YOLO("https://huggingface.co/wuriyanto/yolo8-indonesian-license-plate-detection/resolve/main/model.pt")

# Run inference on an image
results = model("/content/mob_3.JPG", conf=0.5)

# Show results
import matplotlib.pyplot as plt

plt.imshow(results[0].plot())
plt.axis("off")
plt.show()

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