ml5 - Simple Image Classification using MobileNet
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Updated
Jan 19, 2019 - HTML
ml5 - Simple Image Classification using MobileNet
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.
Forest Fire Prediction using Deep Learning
Simple Example of Image Classification using MobileNet Model in TensorFlow.js
This NodeJs project demonstrates Image Classification using Mobile Net
RedHenLab project for GSoC 2021: Visual Recognition of Aztec Hieroglyphs.
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
This is just a simple JavaScript script to try out Tensorflow
Tensorflow introduction (predictions, classification) from webcam
tensorflow.js based Image classifier, trained with CNN architecture model "mobilenet"
Improving the Visual Recognition of Aztec Hieroglyphs (Decipherment Tool) @ Red Hen Lab - GSoC 2022
Train a convolutional neural network to recognise images, live in the browser.
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.
This is a WebApp, which detects lung diseases with integrated stripe payment processing.
Image classifier web app using Mobile Net
Developing Flowers Image Classifier with Deep Learning
Image Classification using Tensorflow.js library
Gender prediction using mobilenet_V2 finetuned on datasets of celebrities, lamoda, wildberries photos.
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