Automatic Number (License) Plate Recognition using Tensorflow Object Detection API

This repository builds a product detection model to recognize products from grocery shelf images.

This repository shows how to train a custom detection model with the TFOD API, optimize it with TFLite, and perform inference with the optimized model.

Collection of Object Detection and Segmentation Pipelines🛸🚀

Showcases the use of deep learning to detect wheat heads from crops. The project is based on: https://www.kaggle.com/c/global-wheat-detection.

Using TensorFlow Object Detection API to detect blood cells

Helmet Detection using TFOD a complete end to end project

Toolkit for the TFOD API

Detect Wheat Heads Using Faster-RCNN and YoloV4 🌾🌾

Una contribución para contener el aumento en el número de contagios por COVID-19 es contar con un mecanismo que ayude a detectar a las personas que no cumplen con las medidas sanitarias. Así es como surge el proyecto MaskON, el cual consiste en entrenar un detector que verifica de forma automática el uso correcto de mascarilla en personas a tiem…

With increase in mugging in late 2022 within Juja township, I went ahead to create a simple but effective algorithm that will detect a weapon and alert Security agents of their sighting. This algorithm is to be integrated in CCTVs ,to detect Real Time.

Edge computing and computer vision with Jetson Nano GPU devices (course material)

Example of training Faster-RCNN model with TFOD API

Real-time Hand Sign detection using TensorFlow Object Detection API

This is a deep learning-based fashion wear classifier

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.

A custom trained Face Mask Detector using TFOD1.x on Google Colab.

End to end object detection project using Faster RCNN, trained using TFOD1.14 framework and served as REST API via Flask App

End to End Object Detection - iNeuron

End to End object detection project using SSD, and serving it as REST API using Flask framework