rajeshkumarkesavan Goto Github PK

accenture-learning-modules

Accenture pre hiring learning modules - tekstac

anime-project

breastcancerprediction

Breast Cancer Prediction using SVM(accuracy = 98%), KNN(accuracy = 98%) and Decision trees(j48 and Decision tree regressor)(accuracy = 97). EDA analysis Done

community-starter-kit

covid-19-i-net

COVID-I Net: Towards Computer-Aided Assessment of Covid-19 Effect on Lung Infection Severity via Deep Neural Networks for Chest X-rays and CT scan images

covid-19-i-net-image-segmentation-using-u-net-and-psp-net

For COVID-19 patients the common stage in diagnosis is computer tomography (CT). A radiologist is often asked to estimate the extent of damage with respect to lung volume. It is a time-consuming procedure, because radiologist should look through all axial slices on CT and segment each of them.so, we ended up training a U-net and PSP-net architectural models for this purpose. The model achieved a greater accuracy in segmentation of all axial slices on CT.

face-detection

Face Detection using Haarcascade classifier in Opencv

facemaskdetection

Using yolov4 customized object detection

mlh

MLH Challenge

nuvi.github.io

VIDEO CHAT APP

signlanguagerecognition

ASL Based Sign Language Recognizer using mediapipe and random forest classifier

yolo-object-detection

YOLO-OBJECT DETECTION USING PYTHON

yolov4-cloud-tutorial

This repository walks you through how to Build and Run YOLOv4 Object Detections with Darknet in the Cloud with Google Colab.