Detection of Images from a set of classes. Images are loaded by the user and the algorithm classifies it accordingly
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Updated
May 26, 2021 - Jupyter Notebook
Detection of Images from a set of classes. Images are loaded by the user and the algorithm classifies it accordingly
Annotations happening dynamically with user tap and also comes with editable text, all created with the help of Mind-AR library, built on Aframe framework.
Création d'un réseau de Deep Learning capable de détecter une unique instance d'un objet (pouvant appartenir à différentes classes) dans une image et de l'encadrer avec un rectangle.
Création d'un réseau de Deep Learning capable de détecter une unique instance d'un objet d'une certaine classe dans une image et de l'encadrer avec un rectangle.
Detecting blue cube in picture or photo using python openCV library
Image Recognition with Deep Learning Models
🁁 Computer Vision Approach to "Double Double Dominoes" 🀵
Useful functions for making bots scripts for simple games like runescape or flash games using OpenCV Template Matching
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)
Projects completed with DataCamp
this repository contains codes for deep neural network, convolutional neural network, recurrent neural network scratch implementations and their real world applications
Detect drowsiness in drivers through eyes and yawns
VisualAI is an mini artificial intelligence project written in Java and Angular that's made for training on custom image data and then object recognition within images.
We are using Amazon Rekognition to detect and identify text from images
Dockerized image detection api using golang
IoT based project to monitor traffic using Raspberry Pi, Pi Camera, RFID MFRC522 Module and GPIO pins.
This repository hosts a set of models built using opencv, keras, tensorflow and pre-trained vgg_16 networks that are used to identify and classify distracted drivers from a set of driver images
A set of markdown files containing summarization on selected surveys concerning medical image processing
KinderAct is an AI-powered web application developed on the Google Cloud Platform (GCP) that specializes in real-time facial expression recognition using Vertex AI and App Engine technologies.
Using Amazon Rekognition to detect Personal Protection Equipment(PPE) in photos
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