EchoSign was made as part of an IBM internship project which we won with this project. It uses transfer learning on MobileNet on a hand-curated dataset of ASL images. The website for this classification was developed in Flask and it uses TTS technology for ASL text to speech conversion.
Gender prediction using mobilenet_V2 finetuned on datasets of celebrities, lamoda, wildberries photos.
This NodeJs project demonstrates Image Classification using Mobile Net
RedHenLab project for GSoC 2021: Visual Recognition of Aztec Hieroglyphs.
tensorflow.js based Image classifier, trained with CNN architecture model "mobilenet"
This web app uses TensorFlow.js and the MobileNet model to classify clothing items in uploaded images. Built with HTML, CSS, and JavaScript, it allows users to upload and preview images, displaying real-time predictions of clothing items and their probabilities.
Simple Example of Image Classification using MobileNet Model in TensorFlow.js
Clothes Detection Example AI web application, uses AI to detect and classify clothing in uploaded photos
An Tensorflow.js Web App running MobileNet on ImageNet in the Github Pages & my personal website.
This is just a simple JavaScript script to try out Tensorflow
AGRO BRAIN AI - Crop Disease Prediction Project Overview : AGRO BRAIN AI - is an advanced crop disease prediction system leveraging deep learning techniques to help farmers and agricultural professionals detect and manage crop diseases effectively. By utilizing state-of-the-art models and deploying them on accessible platforms, this project
Image Classification using Tensorflow.js library
Train a convolutional neural network to recognise images, live in the browser.
Improving the Visual Recognition of Aztec Hieroglyphs (Decipherment Tool) @ Red Hen Lab - GSoC 2022
Tensorflow introduction (predictions, classification) from webcam
Developing Flowers Image Classifier with Deep Learning
Image classifier web app using Mobile Net
This is a WebApp, which detects lung diseases with integrated stripe payment processing.
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