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

加入颜色注意力机制(一个简单的FPN网络)的YOLOv5s模型，结合Mask R-CNN实例分割的血细胞计数桌面应用

OpenMMLab Detection Toolbox and Benchmark

An advanced robotics initiative harnessing Kinect's computer vision capabilities for precise object detection and manipulation, coupled with robust autonomous navigation and path planning technologies. Powered by an Arduino for seamless hardware control and real-time responsiveness.

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.

This repository is dedicated to small projects and some theoretical material that I used to get into Computer Vision using TensorFlow in a practical and efficient way.

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

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

植物表型测量算法(扫描仪/手机相机/深度相机)

The Application of Knowledge Distillation-Based Mask RCNN for Object Detection and Instance Segmentation

Instance Segmentation with PyTorch & PyTorch Lightning.

🔥 Mask R-CNN and Keypoint R-CNN api wrapper in PyTorch.

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

This repository contains the code for my PyTorch Mask R-CNN tutorial.

A real-time application to monitor leopard in urban or rural areas.

This project uses a pre-trained Mask-RCNN model to do object detection and isolates the main human entity. The tool modifies the background of an image/video

Easily perform segmentation using different models and perform different operations on the mask.

Instance Segmentation Using ViT-based Mask R-CNN

Code for the paper titled "Advancing instance segmentation and WBC classification in peripheral blood smear through domain adaptation: A study on PBC and the novel RV-PBS datasets" published on Elsevier's Expert Systems With Applications (ESWA) journal.

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".