😅 Detect faces in images. Without native modules. It uses tracking.js.

Detectify is a deep learning system that detects AI-generated fake videos (deepfakes) using CNN and LSTM-based RNNs. Trained on datasets like Face-Forensic++, Deepfake Detection Challenge, and Celeb-DF, Detectify offers real-time video manipulation detection to combat misinformation and misuse of deepfake technology.

This app uses Clarifai API to detect faces in an image which is provided as a URL. The frontend is built using React, backend using Express, Node, PostgreSQL and the app is deployed using Heroku.

This Python script detects faces in an image using OpenCV's pre-trained face cascade classifier. It draws rectangles around the detected faces and displays the result using the PIL library.

Intelligent Human Face Detection System

Server for the Face Detectify app built using Node and Express

A robust face detection model leveraging OpenCV and machine learning techniques to accurately detect and localize faces in images or video streams. Ideal for real-time applications and integrating into AI projects.

No description available

No description available

Backend : https://github.com/qasimk02/face-detectify-backend

Add detection boxes to multiple faces in the face detectify app.

No description available

No description available

Including the api for the face-detectify app as well as the postgres database in a docker container

An AWS lambda function with serverless to assign ranks to users in face detectify based on the number of images used by them