Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

Fast anchor free Object Detection based on CenterNet (Objects As Points) and TTFNet (Training-Time-Friendly Network). Implemented in TensorFlow 2.2+.

An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.

Considering the big change that the world is facing, as well as our lives due to the COVID-19, we provide to people and companies a complete open-source tool to analyze the social distancing for streets, parks, offices, and even crowded places like malls, train stations, and others.

detect objects from cctv camera

Surfrider Europe's project Plastic Origins aims at mapping river plastic pollution. This citizen science project uses AI to detect litter on river banks. Results are put on a map and shared publicly. We welcome contributions from volunteers. Please, get in touch.

This library builds a graph-representation of the content of PDFs. The graph is then clustered, resulting page segments are classified and returned. Tables are retrieved formatted as a CSV.

Spam email detection

Building a detection model using a convolutional neural network in Keras.

Food object detection with base Faster R-CNN TensorFlow model with k-fold cross validation, resulting in volume estimation and producing caloric data.

Qauntile autoregressive neural network for time series anamoly detection.

Using a convolutional neural network to detect Covid-19 from chest X-ray images.

The Traffic Monitor application will detect objects in a video feed and log, report and chart instances of objects that are recognized. A variety of objects can be selected for tracking as well as the source of the video stream.

Detect faces and compare it with predefined set of faces

#AndroidDevChallenge

This repository contains the files related to the project on frame-by-frame Drowsiness Detection in Drivers in videos using facial features.

Implement YOLO model to detect objects from images in relation with Autonomous Driving

A CNN model that detects breast cancer with 85% accuracy, and classifies mammograms to different types of abnormalities.

Project for Software Design Laboratory -- Topic: Detecting Phishing Website with Machine Learning

Training and converting TensorFlow object detection api to tflite models running on mobile devices

Udacity Nanodegree 131 - OpenVINO computer vision on the edge Project 3 - Gaze Tracking