shettymahalakshmi Goto Github PK

ageandgenderdetection-

Age and gender detection useing tf and kersa

bank-note-authentication-

Data were extracted from images that were taken from genuine and forged banknote-like specimens. For digitization, an industrial camera usually used for print inspection was used. The final images have 400x 400 pixels. Due to the object lens and distance to the investigated object gray-scale pictures with a resolution of about 660 dpi were gained. Wavelet Transform tool were used to extract features from images.

computer-vision-tutorial

computervision

covid-19_detection-

COVID_ 19 Detection useing Chest X-ray

covid19detection

Covid19detectionuseingx-ray images

credit-card-fraud-detection

It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase.

decision-tree-classification

This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset. Several constraints were placed on the selection of these instances from a larger database. In particular, all patients here are females at least 21 years old of Pima Indian heritage.

feature-engineering

feature-engineering-live-sessions

feature-selection1

Feature Selection(curse of dimensionality )

featureselection

FeatureSelection(The curse of dimensionality refers to the phenomena that occur when classifying, organizing, and analyzing high dimensional data that does not occur in low dimensional spaces, specifically the issue of data sparsity and “closeness” of data.

flaskapp-

imageuploadand sisplaying useing flask

flasksaas

A great starting point to build your SaaS in Flask & Python, with Stripe subscription billing 🚀

gis

GIS

hello-world

Just Repository

imagealignment

Align the test image to the reference image of the same object_useing ORB features and compute descriptors.

imagesegmentation-

segemntaion of image using diffrent methods

julia_-

julia_

k-mean

K - mean clustering

mywork

neural-network

Neural_Network_ Models

nlpspam

NLP Application heroku

ocr

Image2Text

pattrenmatching

PattrenMatching

person_-detection_by_haar-cascades

Early approaches for Human Detection In this section, I would focus on Haar cascade and HOG based approaches for human detection. Haar Cascades for Human Detection Haar feature based approach for object detection is proposed by Paul Viola and Michael Jones in their paper “Rapid Object Detection using a Boosted Cascade of Simple Features” published in 2001. This approach is widely used for Face Detection.

pytorch

Pytorch pratice

pytorch-tutorial

qrcode

QR Code scanner from cam

realandphotofaceidentification

Application is going diffrntiate the diffrence between the real time face and Photo face in the video