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)

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

Coronary artery stenosis detection using Faster RCNN

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.

Brain Tumor Segmentation dataset using TensorFlow

Kaggle Nuclei Segmentation (top 4% solution)

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

TensorFlow Lite Segementation example in Python

Tensorflow Advanced Technique Specialization - Solution

Deep Learning Based Cell Segmentation

Image segmentation using deeplab

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

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.