Building and deploying a convolutional neural network (CNN) for accurately classifying landmarks from images using both custom CNNs and transfer learning techniques.

Named Entity Recognition to detect landmarks in German texts

generate your travel plan using AI

Detecting Facial Landmarks on 3D Models Based on Geometric Properties

Android application used for organizing, sorting and localizing of pictures of landmarks, as well as identifying similar images to the photos made by the user

Code for Google Landmark Challenge 2020 competition (22nd place solution). ArcFace with dynamic margin scheduling.

Android application to detect landmarks in pictures

Super fast face detection with landmarks on Raspberry Pi 4

Detect Landmarks similar to Google Lens using TensorFlow Hub

Aalto University CS-E4890 Deep Learning Project: Landmark Classification From Images Using Convolutional Deep Neural Networks

Landmark Detection using pre-trained models.

Contains the implementation of HyperFace: A deep multi task learning framework for facial recognition, landmark detection, pose and gender detection

Watcharapon Weeraborirak Computer Engineering AI Developer (Machine Learning)

基于SSM框架的听歌识曲系统

Landmarks classification models built with TensorFlow Keras

This Module is designed for spine deformity analysis using freehand 3D ultrasound imaging, and the first module Lamina Landmark Labeling help find the Spinal Cord curve in 3D, which can be projected to three anatomical planes, e.g., for Scoliosis analysis using the Cobb angle when projected to the front back view.

Landmark recognition algorithm to predict landmark labels directly from image pixels

Aidlearning is a Python programming framwork for mobile devices

Multi-index hashing for the resolution of ANN search problem on large datasets

Landmarks Recogntion Web application using Streamlit.