There are 3 repositories under detection-model topic.
Robust realtime face and facial landmark tracking on CPU with Unity integration
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.
[NeurIPS 2022 Spotlight] RLIP: Relational Language-Image Pre-training and a series of other methods to solve HOI detection and Scene Graph Generation.
A tensorflow based Faster RCNN inception v2 python model to detect and count humans in real time images, videos & camera.
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.
A Flutter plugin for managing both Yolov5 model and Tesseract v4, accessing with TensorFlow Lite 2.x. Support object detection, segmentation and OCRÂ on both iOS and Android.
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.
Aankh - A real time proctoring solution 🦄
Official implementation of ColonSegNet: Real-Time Polyp Segmentation (Used in NVIDIA Clara Holoscan App for Polyp Segmentation)
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.
Pest Detection using Deep Learning and Tensorflow in python from scratch.
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.
Crosswalks Detection using YOLO, project for Computer Vision and Machine Perception course at University of Basilicata, Computer Science and Engineering.
Motion detection by frames substraction and k-means clustering with OpenCV
Rockfall and earthquake detection and association via multitask learning and transfer learning
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
This repository contains the files related to the project on frame-by-frame Drowsiness Detection in Drivers in videos using facial features.
Deployed a Machine Learning Model as Web App using Streamlit library in python
PanScanner is a tool to make your personal cloud storage more secure using AI
Deep learning model to recognize different American sign language gestures and translate them to text.
Using deep learning and transfer learning techniques to differentiate plain roads and those with potholes using three different classifiers to obtain the best accuracy with the same convolutional base
detect objects from cctv camera
Multitask learning via pseudo-label generation and ensemble prediction for parasitic egg cell detection: IEEE ICIP Challenge 2022 (3rd place solution)
Simulating observation of an acoustic environment, while retaining noise and natural sound as independent components of the system.
The adversarial sample detection model based on edge noise feature
Car-Detection-in-video
Detection Model for Epileptiform EEG Data
Soccer player tracking system