ImageSegmantation Example With YOLOv8

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A curated list of machine learning and AI projects.

Selfie Segmentation in Android with MLKit APIs

This script assumes you have REMBG installed and a decent file manager on Linux. (thunar, caja, nautilus, dolphin) ect... The script will allow you to run REMBG on a file from a right click "open with" setting on Linux.

Apply convolutional network to visual detection and recognition task.

Pytorch lightning template for image segmentation tasks. Dataset was taken from 2018 Data Science Bowl.

Lightweight Attention U-Net for Breast Cancer Semantic Segmentation

Project Overview:- The objective of this hackathon challenge is to develop a robust and efficient algorithm or AI model capable of accurately segmenting the hypodense region from Brain Non-Contrast Computed Tomography (NCCT) images. The primary goal is to automate and streamline the identification of early ischemic changes in acute stroke patients.

Python Mosaic Generator from Source Images. Uses simple shortest distance search between 3D vectors, index division to create a mapping and caching methods to avoid constantly loading certain objects/data from memory.

Image Segmentation model to fetch subject from a image and separate it from background built using U-Net architecture

A repository that allows users to apply the DLICV method to their brain imaging data.

Innovative LBP-based texture extraction from MRI images improves brain tumor classification accuracy to 95.44%. Data augmentation enhances generalization and suggests future research potential.

A small project for comparing the outputs of SAM (Segment Anything) and FastSAM, with a practical GUI

This computer vision project empowers you to excel in the fields of object detection and precise instance segmentation, offering a versatile toolkit for image analysis and understanding.

(ECCV 2020) Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection

This project demonstrates semantic image segmentation using a custom architecture that combines MobileNetV2 and U-Net. It aims to accurately segment objects in images, showcasing a robust approach to image analysis.

PyTorch implementation of focal loss for multi-class semantic segmentation