AnilpreetSingh

Anilluh

Config files for my GitHub profile.

BinaryImages2PascalVOCMasks

converting binary masks as taken from SAM model saved in a heirarical directory into PASCAL VOC format for easy annotation

CellularityWithSAM

Calculating Cellularity of bone marrow biopsy by segmentation with SAM and then applying postprocessing or Object detection.

Google-keep-clone

grameen-sahayak-BlackRockProject

Medical-Care-Website

A responsive, modern and beautiful Website made using HTML, CSS, JavaScript, NodeJS, Express and EJS

MetaVerseMouse

Virtual trackpad that detects fingers and uses their position and gesture to work as a mouse for your computer.

OCT-classification

Diabetic Macular Edema is the major cause of vision-loss in highly prevalent Type 2 diabetes. OCT imaging is widely used method that can help in early its identification and prevent vision loss. Analysis and interpretation of these images takes up a significant amount of time, thus we developed a CNN model to classify these images into 4 types

SAM-to-PascalVOC

Using Meta Segment Anything Model (SAM) to make an automatically annotated instance segmented dataset in PascalVOC format

UNet

Architecture implemntation of various Unet models with pre-trained backbones, UNet++ model with pretrained backbone on Medical dataset

AnilpreetSingh/MetaVerseMouse

Virtual trackpad that detects fingers and uses their position and gesture to work as a mouse for your computer.

AnilpreetSingh/grameen-sahayak-BlackRockProject

AnilpreetSingh/Medical-Care-Website

A responsive, modern and beautiful Website made using HTML, CSS, JavaScript, NodeJS, Express and EJS

AnilpreetSingh/UNet

Architecture implemntation of various Unet models with pre-trained backbones, UNet++ model with pretrained backbone on Medical dataset

AnilpreetSingh/OCT-classification

Diabetic Macular Edema is the major cause of vision-loss in highly prevalent Type 2 diabetes. OCT imaging is widely used method that can help in early its identification and prevent vision loss. Analysis and interpretation of these images takes up a significant amount of time, thus we developed a CNN model to classify these images into 4 types

AnilpreetSingh/SAM-to-PascalVOC

Using Meta Segment Anything Model (SAM) to make an automatically annotated instance segmented dataset in PascalVOC format

AnilpreetSingh/Anilluh

Config files for my GitHub profile.

AnilpreetSingh/BinaryImages2PascalVOCMasks

converting binary masks as taken from SAM model saved in a heirarical directory into PASCAL VOC format for easy annotation

AnilpreetSingh/CellularityWithSAM

Calculating Cellularity of bone marrow biopsy by segmentation with SAM and then applying postprocessing or Object detection.

AnilpreetSingh/Google-keep-clone

AnilpreetSingh/MERN-app