PyTorch Faster R-CNN Object Detection on Custom Dataset

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

OpenMMLab Detection Toolbox and Benchmark

This project uses image processing to measure the size and distance of objects, focusing on veggies without physical contact. It integrates AI and IT to improve agricultural efficiency. The use of modified Canny edge detection and Multiscale Faster-NN algorithms enables real-time measurement and flaw identification.

This initiative leverages cutting-edge machine learning technique such as Mask R-CNN to automate the identification of buildings in satellite images after disasters. Employing high-resolution Maxar imagery, our models efficiently and accurately pinpoint affected structures, enhancing the speed and effectiveness of emergency responses.

Application for object detection in images and videos using Faster R-CNN models.

HumanCount is an object detection system capable of identifying and counting individuals within images or video streams.

Using YOLOv8 and Detectron2 models, this project automates the detection of plant diseases from image data to facilitate early diagnosis and treatment.

Vehicles and plate detection and tracking with string plate recognition.

RectLabel is an offline image annotation tool for object detection and segmentation.

Joint detection of Object and its Semantic parts using Attention-based Feature Fusion on PASCAL Parts 2010 dataset

MSc Computer Science project. Automatically enhance CityGML LOD2 buildings with facade details, by using a panoramic image sequence and building footprint data. NOTE: Amsterdam Panorama API is currently offline.

一份关于detectron2的入门级(训练+预测)的代码demo（目标检测/实例分割/全景分割........）；An entry-level (training + prediction) code demo for detectron2 (object detection/instance segmentation/panoramic segmentation...)

Morse Code Decoder & Detector with Deep Learning

将fiftyone集成到detectron2框架，用于评估模型的性能，并开发缺陷检测平台

Officiel implementation of the paper " FlightScope: A Deep Comprehensive Assessment of Aircraft Detection Algorithms in Satellite Imagery "

Recomendation System

This repository contains the MATLAB® source code used in my research project.

Assignments and projects from the Deep Learning course offered at the University of Tehran.

This repository contains the implementation of deep learning Convolutional Neural Network (CNN) algorithms for cervical cancer screening. The algorithm aims to assist in the early detection and classification of cervical cancer from digital cervical images.