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This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.
The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch
DeepEye is a surveillance application leveraging the current sate of art deep learning and computer vision techniques. Current back-end framework uses Google Object Detection Api for object detection and tracking. It is open-source and feel free to modify for your own usage.
A Flask application made using a custom trained Tensorflow Object Detection machine learning model in order to predict whether a person has a mask on or not.
Face mask detection based on tensorflow 2 object detection API using Efficientdet-D1 model. This project can perform face mask detection on images as well as videos.