Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

This is an experiment adapting the project https://github.com/hubert10/fasterrcnn_resnet50_fpn_v2_new_dataset to detect wrist fractures using a selection of wrist fracture images obtained from https://universe.roboflow.com/landy-aw2jb/fracture-ov5p1/dataset/1 as a custom dataset. Given the positive results, it is uploaded to GitHub.

Drone detection with a simple program obtained by asking a simple question in the address bar of bings (copilot search)

Implement Panoptic FPN to Tackle Down Panoptic Segmentation for Cityscapes Dataset

Multi-task perception system

Scalable Instance Segmentation using PyTorch & PyTorch Lightning.

Yolov3 with multi backbone

YOLOv3: An Incremental Improvement

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

1D and 2D Segmentation Models with options such as Deep Supervision, Guided Attention, BiConvLSTM, Autoencoder, etc.

Efficient model for semantic segmentation on edge devices, specifically targeting the analysis of disaster scenes from images captured by unmanned aerial vehicles (UAVs).

YOLO Series

PyTorch implementations of some FPN-based semantic segmentation architectures: vanilla FPN, Panoptic FPN, PANet FPN; with ResNet and EfficientNet backbones.

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

Pytorch implementation of dynamic FPN, PAN, and Bi-FPN

Segmentation models with pretrained backbones. PyTorch. for Google Colab cell motility segmentation example.

Pytorch Implementation of Dynamic FPN, PAN, and Bi-FPN

Brain MRI segmentation using segmentation models

Feature Pyramid Network based on VGG16 and ResNet101

A semantic segmentation toolbox based on PyTorch