Semantic Segmentation of Underwater Imagery: Dataset and Benchmark. #IROS2020

Using DUCK-Net for polyp image segmentation. ( Nature Scientific Reports 2023 )

Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including transformers implementation) in TensorFlow.

An unsupervised (or self-supervised) loss function for binary image segmentation (TensorFlow)

DeepLabV3+ with squeeze and excitation network for human image segmentation in TensorFlow 2.5.0

Official implementation of NanoNet: Real-time medical Image segmentation architecture (IEEE CBMS)

Coronary artery stenosis detection using Faster RCNN

This is a full implementation of UNet using TensorFlow low level API, high level API and Keras

Brain Tumor Segmentation dataset using TensorFlow

BiSeNet V2 TensorFlow 2 Implementation capable of running on Edge TPUs

A computer vision project (image segmentation project) which aims to remove texts on images using Unet model. Tensorflow 2 is used as a ML library.

This repository contains the code for semantic segmentation of the skin lesions on the ISIC-2018 dataset using TensorFlow 2.0.

Kaggle Nuclei Segmentation (top 4% solution)

TensorFlow Lite Segementation example in Python

Tensorflow Advanced Technique Specialization - Solution

Deep Learning Based Cell Segmentation

Human Hair Segmentation using the UNETR (U-Net Transformers) in TensorFlow

Image segmentation using deeplab

A semantic segmentation for a human parsing task in Tensorflow Python

In this project, I developed and trained a model that uses the Deep Lab V3 Plus architecture for image segmentation — trained particularly on human figures (faced, bodies, et cetera). The model as well as the code to run the model has been provided.

CNN for Synovitis Segmentation in MRI

Image segmentation using TensorFlow. (Downsampling->Upsampling)

Écriture de l’article sur des travaux en segmentation d’image par IA

Training a Convolutional Neural Network to perform Image Segmentation on Oxford Pets Dataset

SOTA 3D Medical Segmentation framework (UNET++, TransUNET , SwimTransUNET) in TensorFlow. Fully TPU-optimized with a 3-stage OHEM pipeline for the Medical Segmentation Decathlon (MSD).

Deep Computer Vision using Convolutional Neural Networks

This repository contains two projects related to computer vision tasks using Keras and TensorFlow. The HW2 folder contains my team's solution for an EU sponsored competition

Mask dogs and cats using Semantic segmentation with Tensorflow

An implementation of irv2 network in keras / tensorflow

Successfully developed an image segmentation model using U-Net to accurately detect and segment fish regions in underwater images, aiding in marine life analysis and monitoring.