sementic-segmentation
There are 16 repositories under sementic-segmentation topic.
ashishpatel26/State-of-the-Art-Deep-Learning-Models-in-TensorFlow
State-of-the-Art Deep Learning Models in TensorFlow Modern Machine Learning in the Google Colab Ecosystem
DebeshJha/Doubleunet_pytorch
Official implementation of DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation (pytorch implementation)
Harly-1506/4VNfoods-Deep-learning
Classification and segmentation 4 VietNamese foods in using Pytorch
association-rosia/vesuvius-challenge
Unveiling the secrets of an ancient library buried by Mount Vesuvius, this Kaggle competition, supported by the Vesuvius Challenge organization, tasked participants with detecting ink from 3D X-ray scans of charred scrolls preserved in a Roman villa in Herculaneum.
taehoon-yoon/KiTS19-Challenge-using-U-net
Image segmentation task with KiTS19 challenge data using U-net
AmzadHossainrafis/Image-segmentation
Semantic segmentation is a type of computer vision technique that assigns a label to every pixel in an image. The label indicates the class of object that the pixel represents. Semantic segmentation is used in tasks such as self-driving cars, where it is important to know not only the boundaries of objects, but also what those objects are.
Arielle0222/Parking_Space_Detection
🏁 ELICE 1st Team Project
ELICE-Team2/Parking_Space_Detection
🏁 ELICE 1st Team Project
heydarimo/Segmentation-Using-FCN
Deep learning based semantic segmentation Using the FCN.
jaydeepthik/semantic-segmentation-with-IoU-metric-and-DICE-coffecient
road and traffic segmentation with IoU metric and DICE coffecient
pha123661/Long-Tail-Point-Cloud-Segmentation
An attention-based solution on long-tail 3D point cloud semantic segmentation tasks.
AbdallahOmarAhmed/pretrained-deeplab
pre trained deeplabV3 with different backbones
hanyuanz2000/Semantic_Segmentation_in_Video_Sequences_Competition
NYU Deep Learning 2023 project for semantic segmentation in video sequences using dual-phase learning with U-Net and ConvLSTM, focusing on predicting segmentation masks from synthetic 3D shape videos.
eshansurendra/AerialSeg-U-Net
Repository for semantic segmentation of aerial imagery using U-Net, featuring training scripts, data preprocessing, and model evaluation.
jiaowoguanren0615/DeepLabV3-Xception-Pytorch
This is a warehouse for DeepLabV3-Xception-pytorch-model, can be used to train your segmentation datasets
yugwangyeol/BODA
[Project&Competition] 2023 장애인 해커톤 대회 - 시각장애인을 위한 보행 방향 및 길 안내 서비스 제안