a Flask app with tensorflow lite model. This website can predict either it's Gojek Driver or not. Using Replit to host this webiste
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Updated
Jan 22, 2022 - HTML
a Flask app with tensorflow lite model. This website can predict either it's Gojek Driver or not. Using Replit to host this webiste
This project implements gesture recognition using accelerometer and gyroscope data, leveraging TensorFlow and Keras for deep learning models. The trained model is then converted to TensorFlow Lite for deployment on edge devices.
implementation tflite model leaves image classification fix_model branch last update
A Flutter application that detects objects in a picture from your gallery using TensorFlow Lite models..
ML Bugs Classifier is an android app published on Google Playstore which uses Tensorflow Lite (.tflite) model to classify insect insect images as per their scientific names. This is meant as a demonstration for model deployment
Models made for Edge Devices and NN Optimizations
Image Recognition App
Quantization of Models : Post-Training Quantization(PTQ) and Quantize Aware Training(QAT)
I am currently developing android applications that could perform deep learning based object detection tasks. I will upload all the apps developed in the repository
Homeland to test your Tensorflow models using tflite
Submission Akhir - Image Classification Model Deployment - Belajar Pengembangan Machine Learning - Dicoding
TensorFlow examples, techniques, applications.
web app to recognize whether or not its a picture of tree. final project from generation girl class.
Alert police and switch off ATM upon finding the emotion “fear” on user face
LSTM layers supported
A cool project which has a lot of learning.
deploy of Handwritten digits classification model on Android
Detect coronavirus in an automated way in x-ray images using COVID19KIT
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