yolov8s-signature-detector

1.4M
50
8.0B
license:agpl-3.0
by
tech4humans
Image Model
OTHER
8B params
High
1.4M downloads
Battle-tested
Edge AI:
Mobile
Laptop
Server
18GB+ RAM
Mobile
Laptop
Server
Quick Summary

AI model with specialized capabilities.

Device Compatibility

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

Code Examples

Python Codebash
pip install ultralytics supervision huggingface_hub
Python Codepython
import cv2
import supervision as sv

from huggingface_hub import hf_hub_download
from ultralytics import YOLO

model_path = hf_hub_download(
  repo_id="tech4humans/yolov8s-signature-detector", 
  filename="yolov8s.pt"
)

model = YOLO(model_path)

image_path = "/path/to/your/image.jpg"
image = cv2.imread(image_path)

results = model(image_path)

detections = sv.Detections.from_ultralytics(results[0])

box_annotator = sv.BoxAnnotator()
annotated_image = box_annotator.annotate(scene=image, detections=detections)

cv2.imshow("Detections", annotated_image)
cv2.waitKey(0)
cv2.destroyAllWindows()
CLIbash
pip install -U ultralytics "huggingface_hub[cli]"
CLIbash
huggingface-cli download tech4humans/yolov8s-signature-detector yolov8s.pt
CLIbash
yolo predict model=yolov8s.pt source=caminho/para/imagem.jpg

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