metadata
tags:
- image-classification
- yolov8
- hand-detection
- computer-vision
library_name: ultralytics
license: mit
Hand Detection YOLOv8
Binary classifier to detect if hands are visible in an image.
Quick Usage
from ultralytics import YOLO
# Load model
model = YOLO('https://huggingface.co/Denhac/etanheys-100/resolve/main/hand-detection-v2.pt')
# Predict
results = model.predict('image.jpg')
if results[0].probs.top1 == 0: # hand class
print(f"Hand detected: {results[0].probs.top1conf:.1%}")
Model Details
- Architecture: YOLOv8n-cls
- Accuracy: 100% on validation
- Size: 2.8 MB
- Classes: hand, not_hand