There are 3 repositories under detection-model topic.
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
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.
A tensorflow based Faster RCNN inception v2 python model to detect and count humans in real time images, videos & camera.
[NeurIPS 2022 Spotlight] RLIP: Relational Language-Image Pre-training and a series of other methods to solve HOI detection and Scene Graph Generation.
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.
A Flutter plugin for managing both Yolov5 model and Tesseract v4, accessing with TensorFlow Lite 2.x. Support object detection, segmentation and OCR on both iOS and Android.
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.
Aankh - A real time proctoring solution 🦄
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.
Official implementation of ColonSegNet: Real-Time Polyp Segmentation (Used in NVIDIA Clara Holoscan App for Polyp Segmentation)
Detecting features on pictures using YOLO, Panoramax & OpenStreetMap. MOVED TO https://gitlab.com/panoramax/docs/detection-tutorial
Pest Detection using Deep Learning and Tensorflow in python from scratch.
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.
Crosswalks Detection using YOLO, project for Computer Vision and Machine Perception course at University of Basilicata, Computer Science and Engineering.
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.
Food object detection with base Faster R-CNN TensorFlow model with k-fold cross validation, resulting in volume estimation and producing caloric data.
Motion detection by frames substraction and k-means clustering with OpenCV
A web application to detect diseases in tomatoes through image detection on tomato leaves using YoLo
Rockfall and earthquake detection and association via multitask learning and transfer learning
This repository contains the files related to the project on frame-by-frame Drowsiness Detection in Drivers in videos using facial features.
基于ultralytics-yolov8, 将其检测/分类/分割/姿态等任务移植到rk3588上
Deployed a Machine Learning Model as Web App using Streamlit library in python
Deployment of 3D-Detection and Tracking pipeline in simulation based on rosbags and real-time.
Deep learning model to recognize different American sign language gestures and translate them to text.
This repository is an implementation of an audio activity detection technique, inspired by the YOLOv6 architecture, for detecting audio segments of various activities
PanScanner is a tool to make your personal cloud storage more secure using AI
detect objects from cctv camera
Detection Model for Epileptiform EEG Data
Multitask learning via pseudo-label generation and ensemble prediction for parasitic egg cell detection: IEEE ICIP Challenge 2022 (3rd place solution)
Dicoding Submission MLOps - TFX Machine Learning Pipeline Human Stress Prediction
PyTorch approach to object detection of wildifre smoke with Faster R-CNN inception v2 and SSD Mobilenet v2 Models and detailed comparative analysis between each other.