Semantic Segmentation of Underwater Imagery: Dataset and Benchmark. #IROS2020
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Updated
Aug 22, 2023 - Python
Semantic Segmentation of Underwater Imagery: Dataset and Benchmark. #IROS2020
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.
Using DUCK-Net for polyp image segmentation. ( Nature Scientific Reports 2023 )
An unsupervised (or self-supervised) loss function for binary image segmentation.
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.
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.
Brain Tumor Segmentation dataset using TensorFlow
TensorFlow Lite Segementation example in Python
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
CNN for Synovitis Segmentation in MRI
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.
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