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_hubPython 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.ptCLIbash
yolo predict model=yolov8s.pt source=caminho/para/imagem.jpgDeploy This Model
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