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inceptionresnetv1

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This model implements an automated pipeline for face detection, embedding generation, and clustering using deep learning and unsupervised machine learning techniques. The model utilizes MTCNN (Multi-task Cascaded Convolutional Neural Networks) for face detection, and InceptionResNetV1

  • Updated Dec 30, 2024
  • Jupyter Notebook

Real-Time Object Detection and Face Recognition system built using YOLOv8, MTCNN, and FaceNet. The project performs live object detection and face recognition through a webcam. It includes a Streamlit-based interactive UI for uploading images, generating face embeddings, and running real-time recognition with a modular, privacy-aware design.

  • Updated Dec 26, 2025
  • Python

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