TensorFlow 101:深度学习入门
celebrity-recognition 开源项目推荐(21 个)
celebrity-recognition 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 21 个仓库Identifying which celebrity is speaking through deep learning
Face recognition using Tensorflow
Model to recognize celebrities using a face matching algorithm.
Testing commercial APIs against the threat of deepfakes.
Find your celebrity look alike
Identify a potential celebrity base on a person picture
AI to detect celebrities from picture using amazom celebrities recognition api.
Face detection and recognition into 6 classes of some famous personalities.
Image Analytics powered by AWS Rekognition
👤 Recognize faces in images instantly with this Flask app leveraging deep learning for real-time face detection and recognition.
Amazon Rekognition — independent third-party profile of a public API surface, by API Evangelist. Amazon Rekognition is a cloud-based computer vision service that makes it easy to add image and video analysis to your applications, providing capabilities such as object and scene detection, facial analysis, face comparison, celebrity recognition, text
The repository contains code to train, evaluate and infer FaceNet model trained on the Siamese Framework for face recognition over 16 classes of different celebrities.
Celebrity face recognition using MTCNN and Inception-ResNet, deployed as a Flask web app.
Face recognition system for images & video using deep learning and OpenCV. Pre-trained on Bollywood & Hollywood celebrity datasets with real-time detection, face encoding & similarity matching.
GIPHY's Open-Source Celebrity Detection Deep Learning Model
Computer vision project for celebrity face recognition using transfer learning with a pre-trained ResNet-18 model.
Celebrity face recognition. Uses the pre-trained face-net model. There is also a flask app built the top of the core model package. Checkout the demo at: poor-mans-rekognition.herokuapp.com
Vietnamese Celebrities Face Recognition Demo
Celebrity Detector and QA is a vision-powered app that detects celebrities in images using Groq’s Llama vision model, then enables natural-language Q&A about the detected person. Built with Flask + OpenCV + HTML/CSS, containerized with Docker, CI/CD via CircleCI, and deployed to GKE with images stored in GCP Artifact Registry.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/celebrity-recognition。
- 该话题在 GitHub 上共有 21 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1155 Star,覆盖 5 种主要语言,数据更新于 2026-11-12。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。