GitHub topics: rcnn-model

Repositories

NDCPanel/Dama

Dama is a browser-based checkers game that brings the classic experience to life with engaging gameplay and an intelligent bot. 🕹️ Enjoy three difficulty levels and all the official rules in a user-friendly interface. 🐱💻

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nicolay-r/AREnets

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

Language: Python - Size: 1.34 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 7 - Forks: 0

elaaatif/Computer-Vision

Detecting wildfire-affected areas using satellite imagery with computer vision techniques , highlighting the efficiency of Faster RCNN model.

Language: Jupyter Notebook - Size: 7.44 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

simurgailab/an-enhanced-tooth-segmentation-in-bitewing-radiographs

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.

Size: 352 KB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 11 - Forks: 3

leovidith/Faster-RCNN-PyTorch

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

thatgeeman/pybx

A simple python module to generate anchor (aka default/prior) boxes for object detection tasks.

Language: Jupyter Notebook - Size: 16.2 MB - Last synced at: 19 days ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 0

osmansefayuksel/Fusion-Based-Object-Tracking-and-Detection

A fusion model combining object detection and tracking algorithms to enhance object tracking accuracy. Includes performance metrics and visual results. Download required model weights and test videos from the provided link.

Language: Python - Size: 1.49 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

simurgailab/tooth-detection-and-numbering-in-panoramic-radiographs

The tooth numbering module classifies and numbering dental objects detected as a result of segmentation according to the FDI notation used universally by dentists.

Size: 241 KB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 24 - Forks: 6

Rakshith-kukyan/Samarthya

An Object Detection project based on RCNN-Algorithm using Python

Language: Jupyter Notebook - Size: 52.8 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

margolek/summer-practise-2021

System for detecting product defects from the production line based on digital image processing using neural networks

Language: HTML - Size: 27.8 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

noah-andersen/bacterial-flagellar-motor-detection

Repo containing computer vision object detection work to locate bacterial flagellar motors from 2D cryogenic electromagnetic images.

Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

giacomolat/Object-Detection-Sperimental-Thesis-for-Degree

In this repository is my experimental thesis work on the recognition of museum works through object detection techniques.

Language: Jupyter Notebook - Size: 123 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

mriya98/Audio_SS_Deep-Learning

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.

Language: Jupyter Notebook - Size: 221 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

louisbrulenaudet/orca

ORCA: Oceanic Recognition & Classification Application for sea-life analysis systems.

Language: Python - Size: 7.18 MB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 1

buseyaren/installation-guide-of-maskrcnn

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.

Language: Jupyter Notebook - Size: 21.9 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 23 - Forks: 12

nyakasko/ObjectAndKeypointDetection

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.

Language: Jupyter Notebook - Size: 89.5 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 1

tnzl/Libra-RCNN

Implementation of Libra R-CNN: Towards Balanced Learning for Object Detection

Size: 1.95 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

flowstack-ai/car-license-plate-recognition

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.

Language: Python - Size: 180 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

arrafi-musabbir/coronary-artery-stenosis-detection

Coronary artery stenosis detection using Faster RCNN

Language: Jupyter Notebook - Size: 624 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 11 - Forks: 1

bawejagb/Ex_Paper_Analysis_Project

Exam Paper Analysis Project based on M-RCNN

Language: Jupyter Notebook - Size: 78.6 MB - Last synced at: 10 days ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 2

alexppppp/keypoint_rcnn_training_pytorch

How to Train a Custom Keypoint Detection Model with PyTorch (Article on Medium)

Language: Python - Size: 28.3 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 49 - Forks: 19

iAmmarTahir/MASK-RCNN-Dataset

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.

Size: 86 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

louisyuzhe/car-damage-detector

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.

Language: Jupyter Notebook - Size: 81.4 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 39 - Forks: 29