Kirang96

Aerial_image_segmentation

Segmentation of aerial images using UNet model.

Air-quality-prediction

Air quality prediction using deep learning: A case study of Kochi

CameraX

fake_currency_detector

This web application takes in an image of a currency, runs it through a model and outputs whether the currency image was an original or a fake.

Fish-classification-using-CNN

A mini-project running a CNN network to classify fishes

grape_bunch_detection

Grape detection project that can classify and draw bounding boxes around them. Created using pretrained RetinaNet model from Tensorflow object detection API

interview-question-data-science-

Kirang96

Config files for my GitHub profile.

Logistic-regression

First attempt at running logistic regression algorithm on heart diseases dataset

xml2yolo

label file converter: xml to yolo

Kirang96/Air-quality-prediction

Air quality prediction using deep learning: A case study of Kochi

Kirang96/fake_currency_detector

This web application takes in an image of a currency, runs it through a model and outputs whether the currency image was an original or a fake.

Kirang96/Aerial_image_segmentation

Segmentation of aerial images using UNet model.

Kirang96/CameraX

Kirang96/Fish-classification-using-CNN

A mini-project running a CNN network to classify fishes

Kirang96/grape_bunch_detection

Grape detection project that can classify and draw bounding boxes around them. Created using pretrained RetinaNet model from Tensorflow object detection API

Kirang96/interview-question-data-science-

Kirang96/Kirang96

Config files for my GitHub profile.

Kirang96/Logistic-regression

First attempt at running logistic regression algorithm on heart diseases dataset

Kirang96/xml2yolo

label file converter: xml to yolo

Kirang96/Yolo_data_preprocessing

Function for converting bbox coordinates of the format x1, y1, x2, y2 to yolo format