Topic: rcnn-model Goto Github
Some thing interesting about rcnn-model
Some thing interesting about rcnn-model
rcnn-model,How to Train a Custom Keypoint Detection Model with PyTorch (Article on Medium)
User: alexppppp
rcnn-model,Coronary artery stenosis detection using Faster RCNN
User: arrafi-musabbir
Home Page: https://www.nature.com/articles/s41598-021-87174-2
rcnn-model,RCNN based Model Training
User: aumohsin99
rcnn-model,Exam Paper Analysis Project based on M-RCNN
User: bawejagb
rcnn-model,Mask R-CNN creates a high-quality segmentation mask in addition to the Faster R-CNN network. In addition to class labels and scores, a segmentation mask is created for the objects detected by this neural network. In this repository, using Anaconda prompt step by step Mask R-CNN setup is shown.
User: buseyaren
rcnn-model,Useful code for the users of the food flipping dataset, published in Nature Scientific Data.
User: deborapereira
rcnn-model,This project is centered around leveraging CRNN (Convolution Recurrent Neural Networks) and Digital Image Processing principles to extract license plates from car images and convert them to text. By using advanced AI algorithms and computer vision techniques, the project aims to provide a reliable and accurate way to recognize license plates.
Organization: flowstack-ai
rcnn-model,A collection of computer vision projects, specifically covering image classification and object detection.
User: fraserlove
rcnn-model,In this repository is my experimental thesis work on the recognition of museum works through object detection techniques.
User: giacomolat
rcnn-model,The Passport and ID Card Image Dataset is a collection of over 500 images of passports and ID cards, specifically created for the purpose of training RCNN models for image segmentation using Coco Annotator. The dataset includes high-quality images of passports and ID cards, covering a diverse range of countries, nationalities and designs.
User: iammartahir
rcnn-model,An object detection project implemented using Transfer Learning and R-CNN model. The object considered for this project is a "cellphone"
User: jd509
rcnn-model,ORCA: Oceanic Recognition & Classification Application for sea-life analysis systems.
User: louisbrulenaudet
Home Page: https://louisbrulenaudet.com
rcnn-model,Mask R-CNN Model to detect the area of damage on a car. The rationale for such a model is that it can be used by insurance companies for faster processing of claims if users can upload pics and they can assess damage from them. This model can also be used by lenders if they are underwriting a car loan especially for a used car.
User: louisyuzhe
rcnn-model,These days we all are using mask just because of Covid 19. So i build this website to detect whether your image is using mask or not by using Computer Vision and Deep Learning Algorithm to detect the image.
User: lovelyoyrmia
Home Page: https://bit.ly/342cG45
rcnn-model,An IoT-based safety system utilising deep learning techniques to analyse environmental sounds in real-time. Employed sensors to capture audio signals and leveraged classification algorithms, including CNN-based and RNN-based models, for accurate sound recognition.
User: mriya98
Home Page: http://sersc.org/journals/index.php/IJAST/article/view/19454
rcnn-model,Tensorflow-based framework which lists attentive implementation of the conventional neural network models (CNN, RNN-based), applicable for Relation Extraction classification tasks as well as API for custom model implementation
User: nicolay-r
rcnn-model,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.
User: nishantbharali
Home Page: https://sites.google.com/vt.edu/nishantkb-cv-project/home
rcnn-model,Repo containing computer vision object detection work to locate bacterial flagellar motors from 2D cryogenic electromagnetic images.
User: noah-andersen
rcnn-model,In this assignment I have to build a Mask R-CNN based keypoint detector model using Detectron2. Detectron2 was written in PyTorch and contains many state-of-the-art obejct detection models with pretrained weights.
User: nyakasko
rcnn-model,A real time soda can object detector using TensorFlow's Regions with Convolutional Neural Networks (R-CNN) adaptation integrated into Django web framework.
User: opophehu
rcnn-model,Detecting Laryngeal Cancer from CT SCAN images using Improvised Deep Learning based Mask R-CNN Model
User: pravatmca
rcnn-model,An Object Detection project based on RCNN-Algorithm using Python
User: rakshith-kukyan
rcnn-model,Modifying pre-trained torchvision models.
User: rr2203
rcnn-model,This repo contains the process of getting started with Facebook FAIR's detectron2 project on windows 10 without any Nvidia GPU.
User: saadhaxxan
rcnn-model,Object detection using R-CNN model from scratch.
User: shalini-b-s
rcnn-model,This study was published in 2022 in a scientific journal with SCI-Expanded index. The tooth numbering module uses the FDI notation, which is widely used by dentists, to classify and number dental items found as a result of segmentation. The performance of the Mask R–CNN method used has been proven by comparing it with other state-of-the-art methods.
Organization: simurgailab
rcnn-model,The tooth numbering module classifies and numbering dental objects detected as a result of segmentation according to the FDI notation used universally by dentists.
Organization: simurgailab
rcnn-model,This work was part of detecting underground pipe detection using deep learning model called Faster R-CNN, was done as an Internship at CEREMA Laboratory, Angers, France. Supervised and guided by DAVID GUILBERT, Researcher and JAUFER RAKEEB, Phd student.
User: taruntejay
rcnn-model,A simple python module to generate anchor (aka default/prior) boxes for object detection tasks.
User: thatgeeman
Home Page: https://thatgeeman.github.io/pybx/
rcnn-model,Implementation of Libra R-CNN: Towards Balanced Learning for Object Detection
User: tnzl
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