Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts
PyTorch implementation of DoubleUNet for medical image segmentation
DilatedSegNet: A Deep Dilated Segmentation Network for Polyp Segmentation
Unofficial Pytorch Implementation of UNet3Plus: A Full-Scale Connected UNet for Medical Image Segmentation
Unofficial Pytorch Implementation of DUCK-Net
A comprehensive CV framework for training and evaluating deep learning models on medical image segmentation tasks, with support for multiple architectures and datasets.
Human Segmentation using PyTorch
Winner of the HackTCNJ 2024 Hackathon. Expand-A-Conda is a search and rescue robot, ingeniously designed to detect people buried in debris using image segmentation and AI-powered pathfinding. It incorporates soft robotics by building a cheap and indestructible vine robot, capable of navigating through inaccessible terrains.
My works at PRESIDENTAL DIGITAL TRANSFORMATION OFFICE
Successfully developed an instance segmentation model using Mask R-CNN to detect and segment brain tumors from MRI scans with pixel-level precision.
a deep learning project for image segmatic segmentation
Analysis of Mamba vs Transformers vs other SOTA methods in vision tasks.
This project focuses on creating a model for segmenting people in images using the EasyPortrait: Face Parsing & Portrait Segmentation dataset.
Image Segmentation on Chemical Lab Equipments
Detecting keyboard keys under heavy motion & noise using a synthetic training image pipeline and dense image segmentation models.
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