Official repository of "FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation".

OpenMMLab Text Detection, Recognition and Understanding Toolbox

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...)

Drone Instance Segmentation using Mask RCNNN

MaskR-CNN

a Visual Diagnosing System Using a Fully Optimized Convolutional Neural Network Architecture for Rapid and Efficient Classification of Tumorous and non Tumorous Brain MRI's and a Model for the Segmentation, Dimension, and Severity Estimation of Brain Tumors.

Image segmentation with pre-trained models of DeepLabV3 and Mask R-CNN

This repository consists of sample notebook which can take you through the basic deep learning excersises in Tensorflow and Pytorch

Depth video data-enabled predictions of longitudinal dairy cow body weight using thresholding and Mask R-CNN algorithms

Mask R-CNN with Modanet dataset

AI to Combat Environmental Pollution - detecting plastic waste in the environment to combat environmental pollution and promote circular economy (Deep Learning, PyTorch)

Web application which shows reallife use of computer vision and Machine Learning

Tutorial to demonstrate the computation of training and validation loss using Detectron2

This project is the Kaggle notebook "Chicken Detection/Segmentation with MaskRCNN and Pytorch" code demo.

CLIP based Zero Shot Instance Segmentation

This folder contains data and various code samples related to using object detectors and object segmentation.

Python desktop app for inference of a MaskRCNN model

This app detects types of cars and counts cars using YOLOv3

Image segmentation of satellite images of galaxies using machine learning and deep learning tecnique, in order to identifiy galaxies.

📺 NeuralAtlases - A Pytorch implementation of the paper "Layered Neural Atlases for Consistent Video Editing" (https://arxiv.org/abs/2109.11418v1)