Automatically predict the location of the image based on any landmarks depicted in the image.
-
Updated
Sep 28, 2023 - HTML
Automatically predict the location of the image based on any landmarks depicted in the image.
In this project I'm going to predict landmarks on face images.
An Android application aimed at assisting tourists in a foreign country.
25581-Images-88-Facial-Landmarks-Annotation-Data
Project for information security. We`re gonna recognize human emotions in the video.
RepDetect is an android mobile application for workout enthusiast which uses Google MediaPipe Pose landmark detection using MLKit to create a basic fitness application.
Python script to put facial features from one face onto another
Emotion recognition using DL, different architectures compared. Two new datasets contributed using Facial Landmarking. Pytorch implementation.
ASL alphabet detection and recognition using python
The project aims to build strong CNN image classification models to automatically predict the location of the image based on any landmarks depicted in an image.
Train-Predict-Landmarks-by-Autoencoder
Complete Facial Recognition project using facial recognition package
The app takes image input from the user and accurately classifies the landmark in the image. It gives the top 5 possible landmark names with the probability.
15-People-22-Landmarks-Annotation-Data-of-3D-Human-Body
Area and Volume Algorithms on 3D Models
Python wrapper for the dlib model with automated model download and predict functionalities.
Bone Age Maturity estimation using a Lateral Cephalogram X-ray image and deep neural networks (UNet)
Train Predict Landmarks by Multi-context attention
Python Implementation using the Convulation Neural Network.
Add a description, image, and links to the landmark-detection topic page so that developers can more easily learn about it.
To associate your repository with the landmark-detection topic, visit your repo's landing page and select "manage topics."