detection-model

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

Robust realtime face and facial landmark tracking on CPU with Unity integration

Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)

Fast anchor free Object Detection based on CenterNet (Objects As Points) and TTFNet (Training-Time-Friendly Network). Implemented in TensorFlow 2.4+.

C++ trainable detection library based on libtorch (or pytorch c++). Yolov4 tiny provided now.

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.

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.

This model is meant to help triage patients (prioritize certain patients for testing, quarantine, and medical attention) that require diagnosis for COVID-19. This model is not meant to diagnose COVID-19.

[NeurIPS 2022 Spotlight] RLIP: Relational Language-Image Pre-training and a series of other methods to solve HOI detection and Scene Graph Generation.

ColonSegNet: Real-Time Polyp Segmentation (Used in NVIDIA Clara Holoscan App for Polyp Segmentation)

Aankh - A real time proctoring solution 🦄

Detects the stress level of an individual using Machine Learning Algorithms

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.

Motion detection by frames substraction and k-means clustering with OpenCV

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

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

Rockfall and earthquake detection and association via multitask learning and transfer learning

Crosswalks Detection using YOLO, project for Computer Vision and Machine Perception course at University of Basilicata, Computer Science and Engineering.

This is a rumor monitoring project based on Paddle. It can also be used for short text classification, intention classification, emotion analysis, the purpose of capturing data, model, prediction and online separation. It is also a case of efficient teaching