Abstract: The “Face Recognition System using Python with OpenCV, Tkinter, NumPy, Image, CV2, and OS Modules” paper aims to develop an efficient and user-friendly application for facial recognition. It ...

Cybersecurity researchers have uncovered two malicious machine learning (ML) models on Hugging Face that leveraged an unusual technique of "broken" pickle files to evade detection. "The pickle files ...

Abstract: Lots of Face recognition technology has seen significant advancements in these years. It offers many applications such as in security systems, surveillance, and biometric authentication.

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Hugging Face has introduced Observers, a cutting-edge tool that enhances transparency and understanding of generative AI interactions. This open-source Python SDK offers developers an easy and ...

This paper presents a comprehensive approach to face detection utilizing the YOLOv8 model, specifically trained on a diverse dataset consisting of images from four individuals. The trained model is ...

for obj in iterable: File "inference.py", line 113, in datagen face_det_results = face_detect (frames) # BGR2RGB for CNN face detection File "inference.py", line 69, in face_detect detector = ...